Christos Faloutsos

According to our database1, Christos Faloutsos authored at least 605 papers between 1982 and 2018.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2010, "For contributions to data mining, indexing, fractals, and power laws.".

Timeline

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Homepages:

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Bibliography

2018
On Power Law Growth of Social Networks.
IEEE Trans. Knowl. Data Eng., 2018

Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining.
TKDD, 2018

Forecasting Big Time Series: Old and New.
PVLDB, 2018

HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data.
PVLDB, 2018

Patterns and anomalies in k-cores of real-world graphs with applications.
Knowl. Inf. Syst., 2018

Did We Get It Right? Predicting Query Performance in E-commerce Search.
CoRR, 2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage.
CoRR, 2018

DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams.
CoRR, 2018

Out-of-Core and Distributed Algorithms for Dense Subtensor Mining.
CoRR, 2018

REV2: Fraudulent User Prediction in Rating Platforms.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

StreamCast: Fast and Online Mining of Power Grid Time Sequences.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

SDREGION: Fast Spotting of Changing Communities in Biological Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SpotLight: Detecting Anomalies in Streaming Graphs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TensorCast: Forecasting Time-Evolving Networks with Contextual Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Individual and Collective Graph Mining: Principles, Algorithms, and Applications
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2017

Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities.
World Wide Web, 2017

Nonlinear Dynamics of Information Diffusion in Social Networks.
TWEB, 2017

Tensor Decomposition for Signal Processing and Machine Learning.
IEEE Trans. Signal Processing, 2017

Robust Data-Driven State Estimation for Smart Grid.
IEEE Trans. Smart Grid, 2017

comeNgo: A Dynamic Model for Social Group Evolution.
TKDD, 2017

Graph-Based Fraud Detection in the Face of Camouflage.
TKDD, 2017

Modeling Temporal Activity to Detect Anomalous Behavior in Social Media.
TKDD, 2017

Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms.
ACM TIST, 2017

Facebook wall posts: a model of user behaviors.
Social Netw. Analys. Mining, 2017

ZooBP: Belief Propagation for Heterogeneous Networks.
PVLDB, 2017

DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data.
J. Inf. Sci. Eng., 2017

Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors.
IEICE Transactions, 2017

On Summarizing Large-Scale Dynamic Graphs.
IEEE Data Eng. Bull., 2017

EagleMine: Vision-Guided Mining in Large Graphs.
CoRR, 2017

LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector.
CoRR, 2017

Structural patterns of information cascades and their implications for dynamics and semantics.
CoRR, 2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.
CoRR, 2017

OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection.
CoRR, 2017

HoloScope: Topology-and-Spike Aware Fraud Detection.
CoRR, 2017

FairJudge: Trustworthy User Prediction in Rating Platforms.
CoRR, 2017

Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm.
CoRR, 2017

Quantifying Structural Patterns of Information Cascades.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization.
Proceedings of the 26th International Conference on World Wide Web, 2017

On Detecting Frauds in Comparison-Shopping Services.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

D-Cube: Dense-Block Detection in Terabyte-Scale Tensors.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

S-HOT: Scalable High-Order Tucker Decomposition.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

H-Fuse: Efficient Fusion of Aggregated Historical Data.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

PowerCast: Mining and Forecasting Power Grid Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

zooRank: Ranking Suspicious Entities in Time-Evolving Tensors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

BeatLex: Summarizing and Forecasting Time Series with Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe).
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PNP: Fast Path Ensemble Method for Movie Design.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Linear load model for robust power system analysis.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

The Many Faces of Link Fraud.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award).
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Skew-Resistant Graph Partitioning.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

HoloScope: Topology-and-Spike Aware Fraud Detection.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Mining billion-scale tensors: algorithms and discoveries.
VLDB J., 2016

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

Node Immunization on Large Graphs: Theory and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

DeltaCon: Principled Massive-Graph Similarity Function with Attribution.
TKDD, 2016

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach.
TKDD, 2016

Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning.
TKDD, 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.
TKDD, 2016

Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.
Statistical Analysis and Data Mining, 2016

Inferring lockstep behavior from connectivity pattern in large graphs.
Knowl. Inf. Syst., 2016

Discovery of "comet" communities in temporal and labeled graphs Com^2.
Knowl. Inf. Syst., 2016

Suspicious Behavior Detection: Current Trends and Future Directions.
IEEE Intelligent Systems, 2016

Tensor Decomposition for Signal Processing and Machine Learning.
CoRR, 2016

PNP: Fast Path Ensemble Method for Movie Design.
CoRR, 2016

M3A: Model, MetaModel, and Anomaly Detection in Web Searches.
CoRR, 2016

Mining Big Time-series Data on the Web.
Proceedings of the 25th International Conference on World Wide Web, 2016

Non-Linear Mining of Competing Local Activities.
Proceedings of the 25th International Conference on World Wide Web, 2016

TribeFlow: Mining & Predicting User Trajectories.
Proceedings of the 25th International Conference on World Wide Web, 2016

CAMLP: Confidence-Aware Modulated Label Propagation.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

FastStep: Scalable Boolean Matrix Decomposition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

"Infect-me-not": A user-centric and site-centric study of web-based malware.
Proceedings of the 2016 IFIP Networking Conference, 2016

Come-and-Go Patterns of Group Evolution: A Dynamic Model.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Online Music Listening Trajectories.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Edge Weight Prediction in Weighted Signed Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Monitoring Manhattan's traffic at 5 intersections?
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

NimbleCore: A space-efficient external memory algorithm for estimating core numbers.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Adaptive, Automatic Stream Mining.
Proceedings of the Data Stream Management - Processing High-Speed Data Streams, 2016

2015
ParCube: Sparse Parallelizable CANDECOMP-PARAFAC Tensor Decomposition.
TKDD, 2015

Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times.
TKDD, 2015

Summarizing and understanding large graphs.
Statistical Analysis and Data Mining, 2015

Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool.
PVLDB, 2015

Linearized and Single-Pass Belief Propagation.
PVLDB, 2015

Estimating robustness in large social graphs.
Knowl. Inf. Syst., 2015

An analysis on information diffusion through BlogCast in a blogosphere.
Inf. Sci., 2015

MassExodus: modeling evolving networks in harsh environments.
Data Min. Knowl. Discov., 2015

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
CoRR, 2015

GMine: A System for Scalable, Interactive Graph Visualization and Mining.
CoRR, 2015

Large Graph Analysis in the GMine System.
CoRR, 2015

SuperGraph Visualization.
CoRR, 2015

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.
CoRR, 2015

TribeFlow: Mining & Predicting User Trajectories.
CoRR, 2015

Why Do You Follow Him?: Multilinear Analysis on Twitter.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities.
Proceedings of the 24th International Conference on World Wide Web, 2015

Extracting Taxonomies from Bipartite Graphs.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Modeling Website Popularity Competition in the Attention-Activity Marketplace.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Mining and Forecasting of Big Time-series Data.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Principled Neuro-Functional Connectivity Discovery.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

SocNL: Bayesian Label Propagation with Confidence.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Retweeting Activity on Twitter: Signs of Deception.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

ND-Sync: Detecting Synchronized Fraud Activities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

TimeCrunch: Interpretable Dynamic Graph Summarization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

RSC: Mining and Modeling Temporal Activity in Social Media.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Graph-Based User Behavior Modeling: From Prediction to Fraud Detection.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Patterns in Interactive Tagging Networks.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Automatic Taxonomy Extraction from Bipartite Graphs.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Education, Learning and Information Theory.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

HaTen2: Billion-scale tensor decompositions.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Fast efficient and scalable Core Consistency Diagnostic for the parafac decomposition for big sparse tensors.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Translation Invariant Word Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Fraud Detection through Graph-Based User Behavior Modeling.
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

Location based Social Network analysis using Tensors and Signal Processing tools.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Scalable community discovery from multi-faceted graphs.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

If walls could talk: Patterns and anomalies in Facebook wallposts.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
SlashBurn: Graph Compression and Mining beyond Caveman Communities.
IEEE Trans. Knowl. Data Eng., 2014

HEigen: Spectral Analysis for Billion-Scale Graphs.
IEEE Trans. Knowl. Data Eng., 2014

On Constructing Seminal Paper Genealogy.
IEEE Trans. Cybernetics, 2014

Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition.
IEEE Signal Process. Mag., 2014

SharkFin: Spatio-temporal mining of software adoption and penetration.
Social Netw. Analys. Mining, 2014

Efficiently spotting the starting points of an epidemic in a large graph.
Knowl. Inf. Syst., 2014

Accurate Approximation of the Earth Mover's Distance in Linear Time.
J. Comput. Sci. Technol., 2014

QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases.
Inf. Sci., 2014

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective.
CoRR, 2014

Modeling Website Popularity Competition in the Attention-Activity Marketplace.
CoRR, 2014

Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times.
CoRR, 2014

Standards for Graph Algorithm Primitives.
CoRR, 2014

VoG: Summarizing and Understanding Large Graphs.
CoRR, 2014

Linearized and Turbo Belief Propagation.
CoRR, 2014

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries.
CoRR, 2014

Spotting misbehaviors in location-based social networks using tensors.
Proceedings of the 23rd International World Wide Web Conference, 2014

Detecting suspicious following behavior in multimillion-node social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Trust prediction using positive, implicit, and negative information.
Proceedings of the 23rd International World Wide Web Conference, 2014

Robust multivariate autoregression for anomaly detection in dynamic product ratings.
Proceedings of the 23rd International World Wide Web Conference, 2014

Large graph mining: patterns, cascades, fraud detection, and algorithms.
Proceedings of the 23rd International World Wide Web Conference, 2014

CoBaFi: collaborative bayesian filtering.
Proceedings of the 23rd International World Wide Web Conference, 2014

Data-driven topology estimation.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

AutoPlait: automatic mining of co-evolving time sequences.
Proceedings of the International Conference on Management of Data, 2014

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

VOG: Summarizing and Understanding Large Graphs.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

PowerScope: Early Event Detection and Identification in Electric Power Systems.
Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Interestingness-Driven Diffusion Process Summarization in Dynamic Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Beyond Blocks: Hyperbolic Community Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

MalSpot: Multi2 Malicious Network Behavior Patterns Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Influence Propagation: Patterns, Model and a Case Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Fault-Tolerant Concept Detection in Information Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Net-Ray: Visualizing and Mining Billion-Scale Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Inferring Strange Behavior from Connectivity Pattern in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Com2: Fast Automatic Discovery of Temporal ('Comet') Communities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

FUNNEL: automatic mining of spatially coevolving epidemics.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

CatchSync: catching synchronized behavior in large directed graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

VoidWiz: Resolving incompleteness using network effects.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP).
Proceedings of the IEEE International Conference on Acoustics, 2014

Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries.
Proceedings of the Large-Scale Data Analytics, 2014

2013
Large Graph Analysis in the GMine System.
IEEE Trans. Knowl. Data Eng., 2013

Halite: Fast and Scalable Multiresolution Local-Correlation Clustering.
IEEE Trans. Knowl. Data Eng., 2013

Competing Memes Propagation on Networks: A Network Science Perspective.
IEEE Journal on Selected Areas in Communications, 2013

Large Scale Tensor Decompositions: Algorithmic Developments and Applications.
IEEE Data Eng. Bull., 2013

DELTACON: A Principled Massive-Graph Similarity Function
CoRR, 2013

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization
CoRR, 2013

Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG.
Comp. Math. Methods in Medicine, 2013

The self-feeding process: a unifying model for communication dynamics in the web.
Proceedings of the 22nd International World Wide Web Conference, 2013

Fast anomaly detection despite the duplicates.
Proceedings of the 22nd International World Wide Web Conference, 2013

CopyCatch: stopping group attacks by spotting lockstep behavior in social networks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Anomaly, event, and fraud detection in large network datasets.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

DELTACON: A Principled Massive-Graph Similarity Function.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Mining Connection Pathways for Marked Nodes in Large Graphs.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Fractional Immunization in Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

F-Trail: Finding Patterns in Taxi Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

EEG-MINE: Mining and Understanding Epilepsy Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Smartphone viruses propagation on heterogeneous composite networks.
Proceedings of the 2nd IEEE Network Science Workshop, 2013


Why people hate your app: making sense of user feedback in a mobile app store.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Opinion Fraud Detection in Online Reviews by Network Effects.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Mixed Membership Subspace Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013


MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases.
Proceedings of the Sound, Music, and Motion - 10th International Symposium, 2013

Spatio-temporal mining of software adoption & penetration.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Analysis of the reputation system and user contributions on a question answering website: StackOverflow.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Network similarity via multiple social theories.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Dimensionality Reduction and Filtering on Time Series Sensor Streams.
Proceedings of the Managing and Mining Sensor Data, 2013

Data Mining in Large Sets of Complex Data.
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-4889-0, 2013

2012
Graph Mining: Laws, Tools, and Case Studies
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2012

gbase: an efficient analysis platform for large graphs.
VLDB J., 2012

Forecasting in the NBA and other team sports: Network effects in action.
TKDD, 2012

Big graph mining: algorithms and discoveries.
SIGKDD Explorations, 2012

Understanding and Managing Cascades on Large Graphs.
PVLDB, 2012

V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors.
PVLDB, 2012

Threshold conditions for arbitrary cascade models on arbitrary networks.
Knowl. Inf. Syst., 2012

An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection.
J. Inf. Sci. Eng., 2012

Gateway finder in large graphs: problem definitions and fast solutions.
Inf. Retr., 2012

MultiAspectForensics: mining large heterogeneous networks using tensor.
Int. J. Web Eng. Technol., 2012

Top-10 Data Mining Case Studies.
International Journal of Information Technology and Decision Making, 2012

NetSimile: A Scalable Approach to Size-Independent Network Similarity
CoRR, 2012

V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors
CoRR, 2012

Competing memes propagation on networks: a case study of composite networks.
Computer Communication Review, 2012

Winner takes all: competing viruses or ideas on fair-play networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

SigSpot: mining significant anomalous regions from time-evolving networks (abstract only).
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Managing and mining large graphs: patterns and algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

OPAvion: mining and visualization in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

ParCube: Sparse Parallelizable Tensor Decompositions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

TensorSplat: Spotting Latent Anomalies in Time.
Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012

Quantifying Reciprocity in Large Weighted Communication Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

RainMon: an integrated approach to mining bursty timeseries monitoring data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Rise and fall patterns of information diffusion: model and implications.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast mining and forecasting of complex time-stamped events.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

RolX: structural role extraction & mining in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

TourViz: interactive visualization of connection pathways in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Interacting viruses in networks: can both survive?
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Spotting Culprits in Epidemics: How Many and Which Ones?
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Pegasus: Mining billion-scale graphs in the cloud.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Gelling, and melting, large graphs by edge manipulation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Top-N recommendation through belief propagation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Fast and reliable anomaly detection in categorical data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
HADI: Mining Radii of Large Graphs.
TKDD, 2011

Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation.
Social Netw. Analys. Mining, 2011

TWave: High-order analysis of functional MRI.
NeuroImage, 2011

PEGASUS: mining peta-scale graphs.
Knowl. Inf. Syst., 2011

Outlier detection by example.
J. Intell. Inf. Syst., 2011

Mining billion-node graphs: patterns, generators and tools.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Recommending People in Developers' Collaboration Network.
Proceedings of the 18th Working Conference on Reverse Engineering, 2011

BlogCast effect on information diffusion in a blogosphere.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

WindMine: Fast and Effective Mining of Web-click Sequences.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Human Dynamics in Large Communication Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Large Scale Graph Mining and Inference for Malware Detection.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point.
Proceedings of the NETWORKING 2011, 2011

ThermoCast: a cyber-physical forecasting model for datacenters.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

GBASE: a scalable and general graph management system.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

It's who you know: graph mining using recursive structural features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Clustering very large multi-dimensional datasets with MapReduce.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Apolo: interactive large graph sensemaking by combining machine learning and visualization.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Mobile Phone Graph Evolution: Findings, Model and Interpretation.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Mining large graphs: Algorithms, inference, and discoveries.
Proceedings of the 27th International Conference on Data Engineering, 2011

Spectral analysis of a blogosphere.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

A linear-time approximation of the earth mover's distance.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Constructing seminal paper genealogy.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Apolo: making sense of large network data by combining rich user interaction and machine learning.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Statistical Properties of Social Networks.
Proceedings of the Social Network Data Analytics, 2011

Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs.
Proceedings of the Graph Data Management: Techniques and Applications., 2011

2010
Graph Mining: Laws and Generators.
Proceedings of the Managing and Mining Graph Data, 2010

Fast Discovery of Group Lag Correlations in Streams.
TKDD, 2010

Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data.
TKDD, 2010

Parsimonious Linear Fingerprinting for Time Series.
PVLDB, 2010

Kronecker Graphs: An Approach to Modeling Networks.
Journal of Machine Learning Research, 2010

Fast feature selection using fractal dimension.
JIDM, 2010

Fast Feature Selection using Fractal Dimension - Ten Years Later.
JIDM, 2010

Time series analysis with multiple resolutions.
Inf. Syst., 2010

Efficient Parallel Learning of Hidden Markov Chain Models on SMPs.
IEICE Transactions, 2010

SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.
Bioinformatics [ISMB], 2010

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.
Proceedings of the SIAM International Conference on Data Mining, 2010

HCDF: A Hybrid Community Discovery Framework.
Proceedings of the SIAM International Conference on Data Mining, 2010

BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling.
Proceedings of the 2010 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2010

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Surprising Patterns for the Call Duration Distribution of Mobile Phone Users.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

SBAD: Sequence Based Attack Detection via Sequence Comparison.
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

Mining Billion-Node Graphs: Patterns, Generators and Tools.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Analysis of Large Multi-modal Social Networks: Patterns and a Generator.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

BASSET: Scalable Gateway Finder in Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

TWave: High-Order Analysis of Spatiotemporal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

oddball: Spotting Anomalies in Weighted Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Metric forensics: a multi-level approach for mining volatile graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

High-order concept discovery in functional brain imaging.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

On the Vulnerability of Large Graphs.
Proceedings of the ICDM 2010, 2010

EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs.
Proceedings of the ICDMW 2010, 2010

Patterns on the Connected Components of Terabyte-Scale Graphs.
Proceedings of the ICDM 2010, 2010

Mining Billion-node Graphs: Patterns, Generators and Tools.
Proceedings of the ICDM 2010, 2010

QMAS: Querying, Mining and Summarization of Multi-modal Databases.
Proceedings of the ICDM 2010, 2010

ValuePick: Towards a Value-Oriented Dual-Goal Recommender System.
Proceedings of the ICDMW 2010, 2010

Fast algorithms for time series mining.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Finding Clusters in subspaces of very large, multi-dimensional datasets.
Proceedings of the 26th International Conference on Data Engineering, 2010

The Typhoon Track Classification using Tri-plots and Markov Chain.
Proceedings of the KDIR 2010, 2010

2009
Direction-Aware Proximity on Graphs.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

RTG: a recursive realistic graph generator using random typing.
Data Min. Knowl. Discov., 2009

Click chain model in web search.
Proceedings of the 18th International Conference on World Wide Web, 2009

Tailoring click models to user goals.
Proceedings of the 2009 workshop on Web Search Click Data, 2009

ShatterPlots: Fast Tools for Mining Large Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

RTG: A Recursive Realistic Graph Generator Using Random Typing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

DOULION: counting triangles in massive graphs with a coin.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

BGP-lens: patterns and anomalies in internet routing updates.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

TANGENT: a novel, 'Surprise me', recommendation algorithm.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

SNARE: a link analytic system for graph labeling and risk detection.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

BBM: bayesian browsing model from petabyte-scale data.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

DynaMMo: mining and summarization of coevolving sequences with missing values.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Large human communication networks: patterns and a utility-driven generator.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Modeling Blog Dynamics.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs.
Proceedings of the ICDM Workshops 2009, 2009

PEGASUS: A Peta-Scale Graph Mining System.
Proceedings of the ICDM 2009, 2009

Graph Mining: Patterns, Generators and Tools.
Proceedings of the Combinatorial Pattern Matching, 20th Annual Symposium, 2009

iPoG: fast interactive proximity querying on graphs.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

NetCube.
Proceedings of the Database Technologies: Concepts, 2009

2008
Incremental tensor analysis: Theory and applications.
TKDD, 2008

Epidemic thresholds in real networks.
ACM Trans. Inf. Syst. Secur., 2008

Bayesian Tensor Approach for 3-D Face Modeling.
IEEE Trans. Circuits Syst. Video Techn., 2008

Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs.
Statistical Analysis and Data Mining, 2008

Less is More: Sparse Graph Mining with Compact Matrix Decomposition.
Statistical Analysis and Data Mining, 2008

C-DEM: a multi-modal query system for Drosophila Embryo databases.
PVLDB, 2008

Random walk with restart: fast solutions and applications.
Knowl. Inf. Syst., 2008

Two heads better than one: pattern discovery in time-evolving multi-aspect data.
Data Min. Knowl. Discov., 2008

Kronecker Graphs: An Approach to Modeling Networks.
CoRR, 2008

Outlier-robust clustering using independent components.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Proximity Tracking on Time-Evolving Bipartite Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2008

Efficient Distribution Mining and Classification.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-Supervised Learning Based on Semiparametric Regularization.
Proceedings of the SIAM International Conference on Data Mining, 2008

Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Hierarchical, Parameter-Free Community Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Graph Mining: Laws, Generators and Tools.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Unsupervised modeling and recognition of object categories with combination of visual contents and geometric similarity links.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Colibri: fast mining of large static and dynamic graphs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Mobile call graphs: beyond power-law and lognormal distributions.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Weighted graphs and disconnected components: patterns and a generator.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Social networks: looking ahead.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Using ghost edges for classification in sparsely labeled networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Protein complex identification by supervised graph local clustering.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

Graph mining: laws, generators and tools.
Proceedings of the 8th ACM SIGCOMM Internet Measurement Conference, 2008

Bayesian tensor analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

GRAPHITE: A Visual Query System for Large Graphs.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Monitoring Network Evolution using MDL.
Proceedings of the 24th International Conference on Data Engineering, 2008

Compact Similarity Joins.
Proceedings of the 24th International Conference on Data Engineering, 2008

Toward a Comprehensive Model in Internet Auction Fraud Detection.
Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

Using Utility to Provision Storage Systems.
Proceedings of the 6th USENIX Conference on File and Storage Technologies, 2008

FMDistance: A Fast and Effective Distance Function for Motion Capture Data.
Proceedings of the Eurographics 2008 - Short Papers, Crete, Greece, April 14-18, 2008, 2008

Laziness is a Virtue: Motion Stitching Using Effort Minimization.
Proceedings of the Eurographics 2008 - Short Papers, Crete, Greece, April 14-18, 2008, 2008

Unsupervised modeling of object categories using link analysis techniques.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Fast mining of complex time-stamped events.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

A novel optimization approach to efficiently process aggregate similarity queries in metric access methods.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Graph mining and influence propagation.
Proceedings of the 2nd ACM Workshop on Information Credibility on the Web, 2008

2007
Dimensionality Reduction and Forecasting on Streams.
Proceedings of the Data Streams - Models and Algorithms, 2007

The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient.
VLDB J., 2007

TKDE Guidelines for Survey Papers.
IEEE Trans. Knowl. Data Eng., 2007

Graph evolution: Densification and shrinking diameters.
TKDD, 2007

RIC: Parameter-free noise-robust clustering.
TKDD, 2007

Visualization of large networks with min-cut plots, A-plots and R-MAT.
Int. J. Hum.-Comput. Stud., 2007

A fast and effective method to find correlations among attributes in databases.
Data Min. Knowl. Discov., 2007

On data mining, compression, and Kolmogorov complexity.
Data Min. Knowl. Discov., 2007

Netprobe: a fast and scalable system for fraud detection in online auction networks.
Proceedings of the 16th International Conference on World Wide Web, 2007

Parallel crawling for online social networks.
Proceedings of the 16th International Conference on World Wide Web, 2007

Data Mining Using Fractals and Power Laws.
Proceedings of the Advances in Data and Web Management, 2007

Boosting k-Nearest Neighbor Queries Estimating Suitable Query Radii.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

Mining large graphs and streams using matrix and tensor tools.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Database techniques with motion capture.
Proceedings of the 34. International Conference on Computer Graphics and Interactive Techniques, 2007

Less is More: Compact Matrix Decomposition for Large Sparse Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Patterns of Cascading Behavior in Large Blog Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Fast direction-aware proximity for graph mining.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Fast best-effort pattern matching in large attributed graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

GraphScope: parameter-free mining of large time-evolving graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Cost-effective outbreak detection in networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Enhanced max margin learning on multimodal data mining in a multimedia database.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Information Survival Threshold in Sensor and P2P Networks.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Finding patterns in blog shapes and blog evolution.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Scalable modeling of real graphs using Kronecker multiplication.
Proceedings of the Machine Learning, 2007

A Max Margin Framework on Image Annotation and Multimodal Image Retrieval.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Stream Monitoring under the Time Warping Distance.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
InteMon: continuous mining of sensor data in large-scale self-infrastructures.
Operating Systems Review, 2006

Efficient Discovery of Unusual Patterns in Time Series .
New Generation Comput., 2006

Spatial Query Estimation without the Local Uniformity Assumption.
GeoInformatica, 2006

Graph mining: Laws, generators, and algorithms.
ACM Comput. Surv., 2006

GMine: A System for Scalable, Interactive Graph Visualization and Mining.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

InteMon: Intelligent System Monitoring on Large Clusters.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Data Mining Using Fractals and Power Laws.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Evaluating the intrinsic dimension of evolving data streams.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Detecting Fraudulent Personalities in Networks of Online Auctioneers.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

An Adaptive Two-Phase Approach to WiFi Location Sensing.
Proceedings of the 4th IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2006 Workshops), 2006

Distributed Pattern Discovery in Multiple Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Center-piece subgraphs: problem definition and fast solutions.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Beyond streams and graphs: dynamic tensor analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Automatic mining of fruit fly embryo images.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Sampling from large graphs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Robust information-theoretic clustering.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

SuperGraph Visualization.
Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006

Fast Random Walk with Restart and Its Applications.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Intelligent system monitoring on large clusters.
Proceedings of the 3rd Workshop on Data Management for Sensor Networks, 2006

Efficient processing of complex similarity queries in RDBMS through query rewriting.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Editorial: TKDE Topic Area Revisions.
IEEE Trans. Knowl. Data Eng., 2005

Relevance search and anomaly detection in bipartite graphs.
SIGKDD Explorations, 2005

Fast estimation of fractal dimension and correlation integral on stream data.
Inf. Process. Lett., 2005

A Comparative Study of Feature Vector-Based Topic Detection Schemes A Comparative Study of Feature Vector-Based Topic Detection Schemes.
Proceedings of the 2005 International Workshop on Challenges in Web Information Retrieval and Integration (WIRI 2005), 2005

Streaming Pattern Discovery in Multiple Time-Series.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

BRAID: Stream Mining through Group Lag Correlations.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Research issues in protein location image databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Mining Time Series Data.
Proceedings of the 20° Simpósio Brasileiro de Bancos de Dados, 2005

FTW: fast similarity search under the time warping distance.
Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Graphs over time: densification laws, shrinking diameters and possible explanations.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Example-Based Robust Outlier Detection in High Dimensional Datasets.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Neighborhood Formation and Anomaly Detection in Bipartite Graphs.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Parameter-Free Spatial Data Mining Using MDL.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

ViVo: Visual Vocabulary Construction for Mining Biomedical Images.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Online Latent Variable Detection in Sensor Networks.
Proceedings of the 21st International Conference on Data Engineering, 2005

AutoLag: Automatic Discovery of Lag Correlations in Stream Data.
Proceedings of the 21st International Conference on Data Engineering, 2005

A Multiresolution Symbolic Representation of Time Series.
Proceedings of the 21st International Conference on Data Engineering, 2005

On Multidimensional Data and Modern Disks.
Proceedings of the FAST '05 Conference on File and Storage Technologies, 2005

2004
Adaptive, unsupervised stream mining.
VLDB J., 2004

Fractal dimension and vector quantization.
Inf. Process. Lett., 2004

Auditing Compliance with a Hippocratic Database.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31, 2004

Prediction and Indexing of Moving Objects with Unknown Motion Patterns.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Indexing and Mining Streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Storage device performance prediction with CART models.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2004

Automated Assistance for Eliciting User Expectations.
Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2004), 2004

R-MAT: A Recursive Model for Graph Mining.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

OBE: Outlier by Example.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Storage Device Performance Prediction with CART Models.
Proceedings of the 12th International Workshop on Modeling, 2004

Automatic multimedia cross-modal correlation discovery.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Fast discovery of connection subgraphs.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Fully automatic cross-associations.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Recovering latent time-series from their observed sums: network tomography with particle filters.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Automatic image captioning.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

MMSS: Multi-Modal Story-Oriented Video Summarization.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Approximate Temporal Aggregation.
Proceedings of the 20th International Conference on Data Engineering, 2004

Segmenting Motion Capture Data into Distinct Behaviors.
Proceedings of the Graphics Interface 2004 Conference, 2004

Relation between Fractal Dimension and Performance of Vector Quantization.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

GCap: Graph-based Automatic Image Captioning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

GCap: Graph-Based Automatic Image Captioning.
Proceedings of the Proceedings MDDE '04, 2004

2003
Power laws and the AS-level internet topology.
IEEE/ACM Trans. Netw., 2003

An environmental sensor network to determine drinking water quality and security.
SIGMOD Record, 2003

Adaptive, Hands-Off Stream Mining.
Proceedings of the VLDB 2003, 2003

Cross-Outlier Detection.
Proceedings of the Advances in Spatial and Temporal Databases, 8th International Symposium, 2003

Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint.
Proceedings of the 22nd Symposium on Reliable Distributed Systems (SRDS 2003), 2003

Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Electricity Based External Similarity of Categorical Attributes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

LOCI: Fast Outlier Detection Using the Local Correlation Integral.
Proceedings of the 19th International Conference on Data Engineering, 2003

Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data.
Proceedings of the Machine Learning: ECML 2003, 2003

The power-method: a comprehensive estimation technique for multi-dimensional queries.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
Fast Indexing and Visualization of Metric Data Sets using Slim-Trees.
IEEE Trans. Knowl. Data Eng., 2002

ImageMap: An Image Indexing Method Based on Spatial Similarity.
IEEE Trans. Knowl. Data Eng., 2002

KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches.
SIGKDD Explorations, 2002

Capturing the spatio-temporal behavior of real traffic data.
Perform. Eval., 2002

Fundamentals of Scheduling and Performance of Video Tape Libraries.
Multimedia Tools Appl., 2002

Data-driven evolution of data mining algorithms.
Commun. ACM, 2002

Sensor Data Mining: Similarity Search and Pattern Analysis.
Proceedings of the VLDB 2002, 2002

Making every bit count: fast nonlinear axis scaling.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

ANF: a fast and scalable tool for data mining in massive graphs.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Data Visualization in RDBMS.
Proceedings of the Information Systems and Databases (ISDB 2002), 2002

Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic.
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

VideoCube: A Novel Tool for Video Mining and Classification.
Proceedings of the Digital Libraries: People, 2002

FastCARS: fast, correlation-aware sampling for network data mining.
Proceedings of the Global Telecommunications Conference, 2002

Indexing Values in Continuous Field Databases.
Proceedings of the Advances in Database Technology, 2002

How to improve the pruning ability of dynamic metric access methods.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

"GeoPlot": spatial data mining on video libraries.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

Future directions in data mining: streams, networks, self-similarity and power laws.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

F4: large-scale automated forecasting using fractals.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Accurate Modeling of Region Data.
IEEE Trans. Knowl. Data Eng., 2001

Analysis of the Clustering Properties of the Hilbert Space-Filling Curve.
IEEE Trans. Knowl. Data Eng., 2001

On the 'Dimensionality Curse' and the 'Self-Similarity Blessing'.
IEEE Trans. Knowl. Data Eng., 2001

Multimedia Queries by Example and Relevance Feedback.
IEEE Data Eng. Bull., 2001

Active Disks for Large-Scale Data Processing.
IEEE Computer, 2001

Identifying Web Browsing Trends and Patterns.
IEEE Computer, 2001

NetCube: A Scalable Tool for Fast Data Mining and Compression.
Proceedings of the VLDB 2001, 2001

Tri-plots: scalable tools for multidimensional data mining.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

The "DGX" distribution for mining massive, skewed data.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

VideoGraph: a new tool for video mining and classification.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

Similarity Search without Tears: The OMNI Family of All-purpose Access Methods.
Proceedings of the 17th International Conference on Data Engineering, 2001

2000
Quantifiable Data Mining Using Ratio Rules.
VLDB J., 2000

Analysis of Range Queries and Self-Spatial Join Queries on Real Region Datasets Stored Using an R-Tree.
IEEE Trans. Knowl. Data Eng., 2000

Reminiscences on Influential Papers.
SIGMOD Record, 2000

Fast Time Sequence Indexing for Arbitrary Lp Norms.
Proceedings of the VLDB 2000, 2000

FALCON: Feedback Adaptive Loop for Content-Based Retrieval.
Proceedings of the VLDB 2000, 2000

Searching, Data Mining and Visualization of Multimedia Data.
Proceedings of the Advances in Visual Information Management, 2000

Data Mining on an OLTP System (Nearly) for Free.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Density Biased Sampling: An Improved Method for Data Mining and Clustering.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Spatial Join Selectivity Using Power Laws.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Fast Feature Selection Using Fractal Dimension.
Proceedings of the XV Simpósio Brasileiro de Banco de Dados, 2000

Online Data Mining for Co-Evolving Time Sequences.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Deflating the Dimensionality Curse Using Multiple Fractal Dimensions.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes.
Proceedings of the Advances in Database Technology, 2000

1999
Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field.
AI Magazine, 1999

On Power-law Relationships of the Internet Topology.
SIGCOMM, 1999

Informed Prefetching of Collective Input/Output Requests.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

I/O Complexity for Range Queries on Region Data Stored Using an R-tree.
Proceedings of the 15th International Conference on Data Engineering, 1999

1998
Self-Spacial Join Selectivity Estimation Using Fractal Concepts.
ACM Trans. Inf. Syst., 1998

Designing Access Methods for Bitemporal Databases.
IEEE Trans. Knowl. Data Eng., 1998

Fast and Effective Retrieval of Medical Tumor Shapes.
IEEE Trans. Knowl. Data Eng., 1998

Overlay Striping and Optimal Parallel I/O for Modern Applications.
Parallel Computing, 1998

Active Storage for Large-Scale Data Mining and Multimedia.
Proceedings of the VLDB'98, 1998

Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining.
Proceedings of the VLDB'98, 1998

MindReader: Querying Databases Through Multiple Examples.
Proceedings of the VLDB'98, 1998

Developing High-Level Representations of Video Clips using VideoTrails.
Proceedings of the Storage and Retrieval for Image and Video Databases VI, 1998

Efficient Retrieval of Similar Time Sequences Under Time Warping.
Proceedings of the Fourteenth International Conference on Data Engineering, 1998

Image Indexing and Retrieval Based on Human Perceptual Color Clustering.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

Selectivity Estimation of Window Queries.
Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998

1997
Similarity Searching in Medical Image Databases.
IEEE Trans. Knowl. Data Eng., 1997

Analysis of the n-Dimensional Quadtree Decomposition for Arbitrary Hyperectangles.
IEEE Trans. Knowl. Data Eng., 1997

Relaxing the Uniformity and Independence Assumptions Using the Concept of Fractal Dimension.
J. Comput. Syst. Sci., 1997

The New Jersey Data Reduction Report.
IEEE Data Eng. Bull., 1997

Multidimensional Access Methods: Trees Have Grown Everywhere.
Proceedings of the VLDB'97, 1997

Recovering Information from Summary Data.
Proceedings of the VLDB'97, 1997

Compressed-Domain Video Indexing Techniques Using DCT and Motion Vector Information in MPEG Video.
Proceedings of the Storage and Retrieval for Image and Video Databases V, 1997

Multimedia Indexing over the Web.
Proceedings of the Storage and Retrieval for Image and Video Databases V, 1997

Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences.
Proceedings of the SIGMOD 1997, 1997

VideoTrails: Representing and Visualizing Structure in Video Sequences.
Proceedings of the Fifth ACM International Conference on Multimedia '97, 1997

Indexing of Multimedia Data.
Multimedia Databases in Perspective, 1997

Advanced Database Systems.
Morgan Kaufmann, ISBN: 1-55860-443-X, 1997

1996
Searching Multimedia Databases by Content.
Advances in Database Systems 3, Kluwer, ISBN: 978-0-7923-9777-9, 1996

Experimenting with Pattern-Matching Algorithms.
Inf. Sci., 1996

Fast Nearest Neighbor Search in Medical Image Databases.
Proceedings of the VLDB'96, 1996

Modeling Skewed Distribution Using Multifractals and the '80-20' Law.
Proceedings of the VLDB'96, 1996

Analysis of n-Dimensional Quadtrees using the Hausdorff Fractal Dimension
Proceedings of the VLDB'96, 1996

Declustering Spatial Databases on a Multi-Computer Architecture.
Proceedings of the Advances in Database Technology, 1996

Design and Implementation of QBISM, a 3D Medical Image Database System.
Multimedia Database System: Issues and Research Direction, 1996

1995
Flexible and Adaptable Buffer Management Techniques for Database Management Systems.
IEEE Trans. Computers, 1995

Fast Searching by Content in Multimedia Databases.
IEEE Data Eng. Bull., 1995

Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension.
Proceedings of the VLDB'95, 1995

Access Methods for Bi-Temporal Databases
Proceedings of the Recent Advances in Temporal Databases, 1995

FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets.
Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, 1995

Indexing Multimedia Databases (Tutorial).
Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, 1995

1994
The TV-Tree: An Index Structure for High-Dimensional Data
VLDB J., 1994

Efficient and Effective Querying by Image Content.
J. Intell. Inf. Syst., 1994

Hilbert R-tree: An Improved R-tree using Fractals.
Proceedings of the VLDB'94, 1994

Fast Subsequence Matching in Time-Series Databases.
Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, 1994

Quest: A Project on Database Mining.
Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, 1994

Beyond Uniformity and Independence: Analysis of R-trees Using the Concept of Fractal Dimension.
Proceedings of the Thirteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1994

QBISM: Extending a DBMS to Support 3D Medical Images.
Proceedings of the Tenth International Conference on Data Engineering, 1994

Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture.
Proceedings of the Advances in Database Technology, 1994

1993
High Performance R-trees.
IEEE Data Eng. Bull., 1993

QBISM: A Prototype 3-D Medical Image Database System.
IEEE Data Eng. Bull., 1993

The QBIC Project: Querying Images by Content, Using Color, Texture, and Shape.
Proceedings of the Storage and Retrieval for Image and Video Databases, 1993

Declustering Using Fractals.
Proceedings of the 2nd International Conference on Parallel and Distributed Information Systems (PDIS 1993), 1993

Efficient Similarity Search In Sequence Databases.
Proceedings of the Foundations of Data Organization and Algorithms, 1993

On Packing R-trees.
Proceedings of the CIKM 93, 1993

1992
Frame-Sliced Signature Files.
IEEE Trans. Knowl. Data Eng., 1992

Analytical results on the quadtree decomposition of arbitrary rectangles.
Pattern Recognition Letters, 1992

On B-Tree Indices for Skewed Distributions.
Proceedings of the 18th International Conference on Very Large Data Bases, 1992

Parallel R-trees.
Proceedings of the 1992 ACM SIGMOD International Conference on Management of Data, 1992

Hybrid Index Organizations for Text Databases.
Proceedings of the Advances in Database Technology, 1992

Signature Files.
Information Retrieval: Data Structures & Algorithms, 1992

1991
An Architecture for High Performance Engineering Information Systems.
IEEE Trans. Software Eng., 1991

Disk Allocation Methods Using Error Correcting Codes.
IEEE Trans. Computers, 1991

Predictive Load Control for Flexible Buffer Allocation.
Proceedings of the 17th International Conference on Very Large Data Bases, 1991

Flexible Buffer Allocation Based on Marginal Gains.
Proceedings of the 1991 ACM SIGMOD International Conference on Management of Data, 1991

DOT: A Spatial Access Method Using Fractals.
Proceedings of the Seventh International Conference on Data Engineering, 1991

1990
Incorporating String Search in a Hypertext System: User Interface and Signature File Design Issues.
Hypermedia, 1990

Signature-Based Text Retrieval Methods: A Survey.
IEEE Data Eng. Bull., 1990

Analysis for the End of Block Wasted Space.
BIT, 1990

1989
Tri-cell-a data structure for spatial objects.
Inf. Syst., 1989

Performance Issues in the Binary Relationship Model.
Data Knowl. Eng., 1989

Fractals for Secondary Key Retrieval.
Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

Declustering Using Error Correcting Codes.
Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

1988
An Efficient Pictorial Database System for PSQL.
IEEE Trans. Software Eng., 1988

Gray Codes for Partial Match and Range Queries.
IEEE Trans. Software Eng., 1988

Expert Database Systems: Efficient Support for Engineering Environments.
Data Knowl. Eng., 1988

Signature Files: An Integrated Access Method for Text and Attributes, Sluitable for Optical Disk Storage.
BIT, 1988

Fast Text Access Methods for Optical and Large Magnetic Disks: Designs and Performance Comparison.
Proceedings of the Fourteenth International Conference on Very Large Data Bases, August 29, 1988

1987
Description and Performance Analysis of Signature File Methods for Office Filing.
ACM Trans. Inf. Syst., 1987

Optimal Signature Extraction and Information Loss.
ACM Trans. Database Syst., 1987

The R+-Tree: A Dynamic Index for Multi-Dimensional Objects.
Proceedings of the VLDB'87, 1987

Analysis of Object Oriented Spatial Access Methods.
Proceedings of the Association for Computing Machinery Special Interest Group on Management of Data 1987 Annual Conference, 1987

1986
Design and Performance Considerations for an Optical Disk-Based Multimedia Object Server.
IEEE Computer, 1986

Multiattribute Hashing Using Gray Codes.
Proceedings of the 1986 ACM SIGMOD International Conference on Management of Data, 1986

1985
Access Methods for Text.
ACM Comput. Surv., 1985

Design of a Signature File Method that Accounts for Non-Uniform Occurrence and Query Frequencies.
Proceedings of the VLDB'85, 1985

Signature files: Design and Performance Comparison of Some Signature Extraction Methods.
Proceedings of the 1985 ACM SIGMOD International Conference on Management of Data, 1985

1984
Design Considerations for a Message File Server.
IEEE Trans. Software Eng., 1984

Signature Files: An Access Method for Documents and Its Analytical Performance Evaluation.
ACM Trans. Inf. Syst., 1984

1983
A Multimedia Office Filing System.
Proceedings of the 9th International Conference on Very Large Data Bases, October 31, 1983

1982
Performance Considerations in Message Files.
Proceedings of the Eigth International Computer Measurement Group Conference, 1982


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