Sanjay Chawla

According to our database1, Sanjay Chawla authored at least 119 papers between 1998 and 2018.

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Bibliography

2018
Sparse Feature Attacks in Adversarial Learning.
IEEE Trans. Knowl. Data Eng., 2018

GTΔ: Detecting Temporal Changes in Group Stochastic Processes.
TKDD, 2018

RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -.
PVLDB, 2018

Optimizing non-decomposable measures with deep networks.
Machine Learning, 2018

Group Deviation Detection Methods: A Survey.
ACM Comput. Surv., 2018

Robust Road Map Inference through Network Alignment of Trajectories.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Road Network Fusion for Incremental Map Updates.
Proceedings of the Progress in Location Based Services 2018, 2018

RheemStudio: Cross-Platform Data Analytics Made Easy.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

RoadRunner: improving the precision of road network inference from GPS trajectories.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Machine-assisted map editing.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

RoadTracer: Automatic Extraction of Road Networks From Aerial Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SAGA: A Submodular Greedy Algorithm for Group Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Patterns, Complex.
Proceedings of the Encyclopedia of GIS., 2017

Classification of Passes in Football Matches Using Spatiotemporal Data.
ACM Trans. Spatial Algorithms and Systems, 2017

App Miscategorization Detection: A Case Study on Google Play.
IEEE Trans. Knowl. Data Eng., 2017

Effective Urban Structure Inference from Traffic Flow Dynamics.
IEEE Trans. Big Data, 2017

Lagrangian relaxations for multiple network alignment.
Data Min. Knowl. Discov., 2017

Social Media Anomaly Detection: Challenges and Solutions.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven Experiment.
Proceedings of the Social Informatics, 2017

A Cost-based Optimizer for Gradient Descent Optimization.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Robust, Deep and Inductive Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

COP: Planning Conflicts for Faster Parallel Transactional Machine Learning.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data.
IEEE Trans. Knowl. Data Eng., 2016

Backbone discovery in traffic networks.
I. J. Data Science and Analytics, 2016

Rheem: Enabling Multi-Platform Task Execution.
Proceedings of the 2016 International Conference on Management of Data, 2016

Incremental Commute Time Using Random Walks and Online Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Early-Stage Event Prediction for Longitudinal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Discovering the Network Backbone from Traffic Activity Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Online Optimization Methods for the Quantification Problem.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Road to Freedom in Big Data Analytics.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

Simple and Scalable Constrained Clustering: a Generalized Spectral Method.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A scalable approach to spectral clustering with SDD solvers.
J. Intell. Inf. Syst., 2015

Cross-Modal Retrieval: A Pairwise Classification Approach.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Automated Classification of Passing in Football.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Social Media Anomaly Detection: Challenges and Solutions.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

The Big Data Landscape: Hurdles and Opportunities.
Proceedings of the Databases in Networked Information Systems, 2015

2014
Detection of Spatiotemporal Outlier Events in Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

ProfileGuard: Privacy Preserving Obfuscation for Mobile User Profiles.
Proceedings of the 13th Workshop on Privacy in the Electronic Society, 2014

The Effect of Outliers in the Design of Data Gathering Tours.
Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

On Integrated Clustering and Outlier Detection.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sleep analytics and online selective anomaly detection.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

On Sparse Feature Attacks in Adversarial Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A unified approach to network anomaly detection.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Application of network analysis on healthcare.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
On detection of emerging anomalous traffic patterns using GPS data.
Data Knowl. Eng., 2013

k-means-: A Unified Approach to Clustering and Outlier Detection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Mining Outlier Participants: Insights Using Directional Distributions in Latent Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Tikhonov or Lasso Regularization: Which Is Better and When.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance.
Proceedings of the 30th International Conference on Machine Learning, 2013

A Scalable Approach for LRT Computation in GPGPU Environments.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

A Causal Approach for Mining Interesting Anomalies.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Density-preserving projections for large-scale local anomaly detection.
Knowl. Inf. Syst., 2012

Mining Causal Outliers Using Gaussian Bayesian Networks.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Inferring the Root Cause in Road Traffic Anomalies.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers.
Proceedings of the Discovery Science - 15th International Conference, 2012

An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Robust Record Linkage Blocking Using Suffix Arrays and Bloom Filters.
TKDD, 2011

A Quadratic Mean based Supervised Learning Model for Managing Data Skewness.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Discovering spatio-temporal causal interactions in traffic data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A robust index for regular expression queries.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

On Mining Anomalous Patterns in Road Traffic Streams.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Mining adversarial patterns via regularized loss minimization.
Machine Learning, 2010

Feature Selection, Association Rules Network and Theory Building.
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

Outlier detection special issue.
Data Min. Knowl. Discov., 2010

A Robust Decision Tree Algorithm for Imbalanced Data Sets.
Proceedings of the SIAM International Conference on Data Mining, 2010

Robust Outlier Detection Using Commute Time and Eigenspace Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Finding Local Anomalies in Very High Dimensional Space.
Proceedings of the ICDM 2010, 2010

Network Anomaly Detection Using a Commute Distance Based Approach.
Proceedings of the ICDMW 2010, 2010

On Bayesian Network and Outlier Detection.
Proceedings of the 16th International Conference on Management of Data, 2010

2009
Association Rules Network: Definition and Applications.
Statistical Analysis and Data Mining, 2009

A Game Theoretical Model for Adversarial Learning.
Proceedings of the ICDM Workshops 2009, 2009

Robust record linkage blocking using suffix arrays.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

SparseDTW: A Novel Approach to Speed up Dynamic Time Warping.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Patterns, Complex.
Proceedings of the Encyclopedia of GIS., 2008

Mining spatio-temporal patterns in object mobility databases.
Data Min. Knowl. Discov., 2008

Spatio-temporal Outlier Detection in Precipitation Data.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

Disk-Based Sampling for Outlier Detection in High Dimensional Data.
Proceedings of the 14th International Conference on Management of Data, 2008

2007
High Confidence Rule Mining for Microarray Analysis.
IEEE/ACM Trans. Comput. Biology Bioinform., 2007

An incremental data-stream sketch using sparse random projections.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Dimensionality reduction for long duration and complex spatio-temporal queries.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
SLOM: a new measure for local spatial outliers.
Knowl. Inf. Syst., 2006

Mining for Outliers in Sequential Databases.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

CCCS: a top-down associative classifier for imbalanced class distribution.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Geometrically Inspired Itemset Mining.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases.
Proceedings of the Database Systems for Advanced Applications, 2006

2005
Striking Two Birds With One Stone: Simultaneous Mining of Positive and Negative Spatial Patterns.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Conditional Random Fields for Transmembrane Helix Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

On discovery of maximal confident rules without support pruning in microarray data.
Proceedings of the 5th international workshop on Bioinformatics, 2005

A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
A new landmarker generation algorithm based on correlativity.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

On Local Spatial Outliers.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

On Local Pruning of Association Rules Using Directed Hypergraphs.
Proceedings of the 20th International Conference on Data Engineering, 2004

Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Mining Complex Relationships in the SDSS SkyServer Spatial Database.
Proceedings of the 28th International Computer Software and Applications Conference (COMPSAC 2004), 2004

A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Object-Based Directional Query Processing in Spatial Databases.
IEEE Trans. Knowl. Data Eng., 2003

Mining Open Source Software (OSS) Data Using Association Rules Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Complex Spatial Relationships.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Spatial databases - a tour.
Prentice Hall, ISBN: 978-0-13-017480-2, 2003

2002
Spatial contextual classification and prediction models for mining geospatial data.
IEEE Trans. Multimedia, 2002

Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach.
IEEE Trans. Knowl. Data Eng., 2002

A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data.
Proceedings of the 6th Joint Conference on Information Science, 2002

2001
Maintaining Spatial Constraints Using a Dimension Graph Approach.
International Journal on Artificial Intelligence Tools, 2001

Modeling Spatial Dependencies for Mining Geospatial Data.
Proceedings of the First SIAM International Conference on Data Mining, 2001

2000
Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining.
Proceedings of the International Workshop on Multimedia Data Mining, 2000

Consistency checking for Euclidean spatial constraints: a dimension graph approach.
Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

Processing object-oientation-based direction queries: a summary of results.
Proceedings of the ACM-GIS 2000, 2000

Extending Data Mining for Spatial Applications: A Case Study in Predicting Nest Locations.
Proceedings of the 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2000

1999
Spatial Databases - Accomplishments and Research Needs.
IEEE Trans. Knowl. Data Eng., 1999

An Object Model of Direction and Its Implications.
GeoInformatica, 1999

Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models.
Proceedings of the Integrated Spatial Databases, Digital Inages and GIS, 1999

1998
Optimizing Join Index Based Join Processing: A Graph Partitioning Approach.
Proceedings of the Seventeenth Symposium on Reliable Distributed Systems, 1998


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