Srinivasan Parthasarathy

According to our database1, Srinivasan Parthasarathy authored at least 235 papers between 1986 and 2020.

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Bibliography

2020
Towards Quantifying the Distance between Opinions.
CoRR, 2020

2019
An End-to-End Framework for Cold Question Routing in Community Question Answering Services.
CoRR, 2019

Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods.
CoRR, 2019

Automatic Table completion using Knowledge Base.
CoRR, 2019

A Countrywide Traffic Accident Dataset.
CoRR, 2019

Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations.
CoRR, 2019

Network Representation Learning: Consolidation and Renewed Bearing.
CoRR, 2019

Towards Open Intent Discovery for Conversational Text.
CoRR, 2019

PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization.
CoRR, 2019

BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge.
Proceedings of the World Wide Web Conference, 2019

Fractal: A General-Purpose Graph Pattern Mining System.
Proceedings of the 2019 International Conference on Management of Data, 2019

A Pipeline for Disaster Response and Relief Coordination.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Fast and Efficient Cross Band Channel Prediction Using Machine Learning.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Henosis: workload-driven small array consolidation and placement for HDF5 applications on heterogeneous data stores.
Proceedings of the ACM International Conference on Supercomputing, 2019

Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Spread Sampling and Its Applications on Graphs.
Proceedings of the Complex Networks and Their Applications VIII, 2019

ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Symmetrization for Embedding Directed Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Prioritized Relationship Analysis in Heterogeneous Information Networks.
TKDD, 2018

NetClass: A network-based relational model for document classification.
Inf. Sci., 2018

ColdRoute: effective routing of cold questions in stack exchange sites.
Data Min. Knowl. Discov., 2018

Hypergraph Clustering: A Modularity Maximization Approach.
CoRR, 2018

MILE: A Multi-Level Framework for Scalable Graph Embedding.
CoRR, 2018

Human-Guided Flood Mapping: From Experts to the Crowd.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Enriching Taxonomies With Functional Domain Knowledge.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Semi-supervised Embedding in Attributed Networks with Outliers.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Semi-Supervised Community Detection Using Structure and Size.
Proceedings of the IEEE International Conference on Data Mining, 2018

Parallel Latent Dirichlet Allocation on GPUs.
Proceedings of the Computational Science - ICCS 2018, 2018

Characterizing I/O optimization opportunities for array-centric applications on HDFS.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Efficient sparse-matrix multi-vector product on GPUs.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

2017
Biomedical Data Mining, Spatial.
Proceedings of the Encyclopedia of GIS., 2017

Patterns in Spatiotemporal Data.
Proceedings of the Encyclopedia of GIS., 2017

Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds.
CoRR, 2017

SEANO: Semi-supervised Embedding in Attributed Networks with Outliers.
CoRR, 2017

Hierarchical Change Point Detection on Dynamic Networks.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Breaking Cycles In Noisy Hierarchies.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Adaptive Bayesian Sampling with Monte Carlo EM.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Visualizing Attributed Graphs via Terrain Metaphor.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Fast Change Point Detection on Dynamic Social Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance.
Proceedings of the 46th International Conference on Parallel Processing, 2017

Multimodal Content Analysis for Effective Advertisements on YouTube.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Analyzing and Visualizing Scalar Fields on Graphs.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Emotional and Linguistic Cues of Depression from Social Media.
Proceedings of the 2017 International Conference on Digital Health, 2017

A Quest to Unravel the Metric Structure Behind Perturbed Networks.
Proceedings of the 33rd International Symposium on Computational Geometry, 2017

2016
What Links Alice and Bob?: Matching and Ranking Semantic Patterns in Heterogeneous Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Multi-Domain Manifold Learning for Drug-Target Interaction Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Green- and heterogeneity-aware partitioning for data analytics.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics.
Proceedings of the 33nd International Conference on Machine Learning, 2016

D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures.
Proceedings of the International Conference on Computational Science 2016, 2016

Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy.
Proceedings of the International Conference on Computational Science 2016, 2016

Data Analytics Framework for A Game-based Rehabilitation System.
Proceedings of the 6th International Conference on Digital Health Conference, 2016

Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Lazy Pipelines: Enhancing quality in approximate computing.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Robust Contextual Outlier Detection: Where Context Meets Sparsity.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Topological Graph Sketching for Incremental and Scalable Analytics.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A Bayesian Perspective on Locality Sensitive Hashing with Extensions for Kernel Methods.
TKDD, 2015

Dynamic inference of social roles in information cascades.
Data Min. Knowl. Discov., 2015

GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing.
Proceedings of the 24th International Conference on World Wide Web, 2015

Automatic Selection of Sparse Matrix Representation on GPUs.
Proceedings of the 29th ACM on International Conference on Supercomputing, 2015

Towards a parameter-free and parallel itemset mining algorithm in linearithmic time.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Interactive Tweaking of Text Analytics Dashboards.
Proceedings of the Databases in Networked Information Systems, 2015

b-HiVE: a bit-level history-based error model with value correlation for voltage-scaled integer and floating point units.
Proceedings of the 52nd Annual Design Automation Conference, 2015

Edge importance identification for energy efficient graph processing.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
Query reverse engineering.
VLDB J., 2014

Economically-efficient sentiment stream analysis.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications.
Proceedings of the International Conference for High Performance Computing, 2014

On Understanding the Divergence of Online Social Group Discussion.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

A fast implementation of MLR-MCL algorithm on multi-core processors.
Proceedings of the 21st International Conference on High Performance Computing, 2014

Simultaneous detection of communities and roles from large networks.
Proceedings of the second ACM conference on Online social networks, 2014

One, Two, Hash! Counting Hash Tables for Flash Devices.
Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014, 2014

Component Detection in Directed Networks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Global graphs: A middleware for large scale graph processing.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2013
PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data.
PVLDB, 2013

Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics.
IEEE Data Eng. Bull., 2013

Efficient community detection in large networks using content and links.
Proceedings of the 22nd International World Wide Web Conference, 2013

Scalable all-pairs similarity search in metric spaces.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Stratification driven placement of complex data: A framework for distributed data analytics.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Hash in a flash: Hash tables for flash devices.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Identifying protein complexes in AP-MS data with negative evidence via soft Markov clustering.
Proceedings of the ACM Conference on Bioinformatics, 2013

Network Clustering.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Bayesian Locality Sensitive Hashing for Fast Similarity Search.
PVLDB, 2012

On the Role of Social Identity and Cohesion in Characterizing Online Social Communities
CoRR, 2012

Hash in a Flash: Hash Tables for Solid State Devices
CoRR, 2012

Scalable global alignment for multiple biological networks.
BMC Bioinformatics, 2012

Identifying functional modules in interaction networks through overlapping Markov clustering.
Bioinformatics, 2012

A single source k-shortest paths algorithm to infer regulatory pathways in a gene network.
Bioinformatics, 2012

GADBMS: A Framework for Scalable Array Analytics.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

A framework for summarizing and analyzing twitter feeds.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining.
PVLDB, 2011

Elastic Fidelity: Trading-off Computational Accuracy for Energy Reduction
CoRR, 2011

Local graph sparsification for scalable clustering.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Locality Sensitive Outlier Detection: A ranking driven approach.
Proceedings of the 27th International Conference on Data Engineering, 2011

Symmetrizations for clustering directed graphs.
Proceedings of the EDBT 2011, 2011

Scalable multiple global network alignment for biological data.
Proceedings of the ACM International Conference on Bioinformatics, 2011

Community Discovery in Social Networks: Applications, Methods and Emerging Trends.
Proceedings of the Social Network Data Analytics, 2011

2010
A Survey of Graph Mining Techniques for Biological Datasets.
Proceedings of the Managing and Mining Graph Data, 2010

Distance-Based Outlier Detection: Consolidation and Renewed Bearing.
PVLDB, 2010

A distributed placement service for graph-structured and tree-structured data.
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2010

A Framework for SQL-Based Mining of Large Graphs on Relational Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Hashing tree-structured data: Methods and applications.
Proceedings of the 26th International Conference on Data Engineering, 2010

Parallel and Distributed Data Management.
Proceedings of the Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31, 2010

Lag Patterns in Time Series Databases.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

Markov clustering of protein interaction networks with improved balance and scalability.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
An event-based framework for characterizing the evolutionary behavior of interaction graphs.
TKDD, 2009

Similarity Search on Bregman Divergence: Towards Non-Metric Indexing.
PVLDB, 2009

Mining Tree-Structured Data on Multicore Systems.
PVLDB, 2009

Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2009

Predicting functionality of protein-DNA interactions by integrating diverse evidence.
Bioinformatics, 2009

Query by output.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Scalable graph clustering using stochastic flows: applications to community discovery.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Anomaly detection and spatio-temporal analysis of global climate system.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

A viewpoint-based approach for interaction graph analysis.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Mutual Information Based Extrinsic Similarity for Microarray Analysis.
Proceedings of the Bioinformatics and Computational Biology, 2009

2008
Patterns in Spatio-temporal Data.
Proceedings of the Encyclopedia of GIS., 2008

Biomedical Data Mining, Spatial.
Proceedings of the Encyclopedia of GIS., 2008

Biological data mining.
Scientific Programming, 2008

Guest editorial.
Statistical Analysis and Data Mining, 2008

On the use of structure and sequence-based features for protein classification and retrieval.
Knowl. Inf. Syst., 2008

Fast mining of distance-based outliers in high-dimensional datasets.
Data Min. Knowl. Discov., 2008

CSV: visualizing and mining cohesive subgraphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Global trees: a framework for linked data structures on distributed memory parallel systems.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008

An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures.
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008

A visual-analytic toolkit for dynamic interaction graphs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Data mining on the cell broadband engine.
Proceedings of the 22nd Annual International Conference on Supercomputing, 2008

Architecture Conscious Data Mining.
Proceedings of the Next Generation of Data Mining., 2008

2007
A Survey of Distributed Mining of Data Streams.
Proceedings of the Data Streams - Models and Algorithms, 2007

Cache-conscious frequent pattern mining on modern and emerging processors.
VLDB J., 2007

Spatial Modeling and Classification of Corneal Shape.
IEEE Trans. Information Technology in Biomedicine, 2007

Construction of a reference gene association network from multiple profiling data: application to data analysis.
Bioinformatics, 2007

A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories.
Algorithms for Molecular Biology, 2007

LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Toward terabyte pattern mining: an architecture-conscious solution.
Proceedings of the 12th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2007

Data mining at the crossroads: successes, failures and learning from them.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

An ensemble framework for clustering protein-protein interaction networks.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Local Probabilistic Models for Link Prediction.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Mobility control for throughput maximization in ad hoc networks.
Wireless Communications and Mobile Computing, 2006

Fast Distributed Outlier Detection in Mixed-Attribute Data Sets.
Data Min. Knowl. Discov., 2006

Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Learning Approximate MRFs from Large Transaction Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Knowledge-Conscious Data Clustering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Summarizing itemset patterns using probabilistic models.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Out-of-core frequent pattern mining on a commodity PC.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

A model-based approach for mining membrane protein crystallization trials.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

I/O conscious algorithm design and systems support for data analysis on emerging architectures.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Visual Exploration of Spatio-temporal Relationships for Scientific Data.
Proceedings of the IEEE Symposium On Visual Analytics Science And Technology, 2006

Learning Approximate MRFs from Large Transactional Data.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

On Trajectory Representation for Scientific Features.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Adaptive Parallel Graph Mining for CMP Architectures.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Mining Spatial and Spatio-Temporal Patterns in Scientific Data.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries.
Proceedings of the Advances in Database Technology, 2006

High Performance Data Mining: Consolidation and Renewed Bearing.
Proceedings of the 13th International Conference on Management of Data, 2006

TRIPS and TIDES: new algorithms for tree mining.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Robust periodicity detection algorithms.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Structure-based querying of proteins using wavelets.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures.
Proceedings of the 2006 workshop on Memory System Performance and Correctness, 2006

2005
Toward Unsupervised Correlation Preserving Discretization.
IEEE Trans. Knowl. Data Eng., 2005

BIOKDD 2005 workshop report.
SIGKDD Explorations, 2005

MotifMiner: Efficient discovery of common substructures in biochemical molecules.
Knowl. Inf. Syst., 2005

Cache-conscious Frequent Pattern Mining on a Modern Processor.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

A generalized framework for mining spatio-temporal patterns in scientific data.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Discovering frequent topological structures from graph datasets.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

A Services Oriented Framework for Next Generation Data Analysis Centers.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Mining Spatial Object Associations for Scientific Data.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Design of a next generation sampling service for large scale data analysis applications.
Proceedings of the 19th Annual International Conference on Supercomputing, 2005

Alternate Representation of Distance Matrices for Characterization of Protein Structure.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

A Characterization of Data Mining Workloads on a Modern Processor.
Proceedings of the Workshop on Data Management on New Hardware, 2005

Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

Classification of Biomedical Data through Model-Based Spatial Averaging.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

A Multi-Level Approach to SCOP Fold Recognition.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis.
Proceedings of the Artificial Intelligence in Medicine, 2005

2004
Parallel and distributed methods for incremental frequent itemset mining.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data.
Proceedings of the 15th IEEE Visualization 2004 Conference, 2004

Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps.
Proceedings of the 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2004), 2004

A New Approach to Protein Structure Mining and Alignment.
Proceedings of the 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2004), 2004

Facilitating Interactive Distributed Data Stream Processing and Mining.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

Parallel algorithms for mining frequent structural motifs in scientific data.
Proceedings of the 18th Annual International Conference on Supercomputing, 2004

Correlation Preserving Discretization.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach.
Proceedings of the Computational Science, 2004

2003
On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets.
IEEE Trans. Knowl. Data Eng., 2003

Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Feature Mining Paradigms for Scientific Data.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases.
Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003

New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases.
Proceedings of the 15th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2003), 2003

Towards NIC-based intrusion detection.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Mining Frequent Itemsets in Distributed and Dynamic Databases.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model.
Proceedings of the 12th International Symposium on High-Performance Distributed Computing (HPDC-12 2003), 2003

Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets.
Proceedings of the High Performance Computing - HiPC 2003, 10th International Conference, 2003

A Slacker Coherence rotocol for Pull-based Monitoring of On-line Data Source.
Proceedings of the 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), 2003

MotifMiner: A General Toolkit for Efficiently Identifying Common Substructures in Molecules.
Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

2002
Shared State for Distributed Interactive Data Mining Applications.
Distributed and Parallel Databases, 2002

Mining Frequent Itemsets in Evolving Databases.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Efficiently Mining Approximate Models of Associations in Evolving Databases.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

On the Use of Constrained Associations for Web Log Mining.
Proceedings of the WEBKDD 2002, 2002

Parallel Incremental 2D-Discretization on Dynamic Datasets.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

Efficient Discovery of Common Substructures in Macromolecules.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Efficient Progressive Sampling for Association Rules.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Parallel Data Mining for Association Rules on Shared-Memory Systems.
Knowl. Inf. Syst., 2001

Shared State for Client-Server Mining.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Mining massively incomplete data sets by conceptual reconstruction.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Towards Network-Aware Data Mining.
Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

2000
Clustering Distributed Homogeneous Datasets.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

InterWeave: A Middleware System for Distributed Shared State.
Proceedings of the Languages, 2000

Exploiting Dataset Similarity for Distributed Mining.
Proceedings of the Parallel and Distributed Processing, 2000

1999
Active Mining in a Distributed Setting.
Proceedings of the Large-Scale Parallel Data Mining, 1999

Incremental and Interactive Sequence Mining.
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999

1998
InterAct: Virtual Sharing for Interactive Client-Server Applications.
Proceedings of the Languages, 1998

Memory Placement Techniques for Parallel Association Mining.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997
Customized Dynamic Load Balancing for a Network of Workstations.
J. Parallel Distrib. Comput., 1997

Parallel Algorithms for Discovery of Association Rules.
Data Min. Knowl. Discov., 1997

A Localized Algorithm for Parallel Association Mining.
Proceedings of the 9th Annual ACM Symposium on Parallel Algorithms and Architectures, 1997

Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network.
Proceedings of the Sixteenth ACM Symposium on Operating System Principles, 1997

Evaluation of Sampling for Data Mining of Association Rules.
Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications, 1997

New Algorithms for Fast Discovery of Association Rules.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

VM-Based Shared Memory on Low-Latency, Remote-Memory-Access Networks.
Proceedings of the 24th International Symposium on Computer Architecture, 1997

Arithmetic and logic operations with DNA.
Proceedings of the DNA Based Computers, 1997

1996
An Efficient Algorithm for Concurrent Priority Queue Heaps.
Inf. Process. Lett., 1996

Compile-time inter-query dependence analysis.
Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Processing, 1996

Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors.
Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, 1996

1987
A color vision system for film thickness determination.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

1986
A color vision system for microelectronics: Application to oxide thickness measurements.
Proceedings of the 1986 IEEE International Conference on Robotics and Automation, 1986


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