Sanjay Chawla

Linsey Xiaolin Pang, Sanjay Chawla, Bernhard Scholz, Georgina Wilcox: A Scalable Approach for LRT Computation in GPGPU Environments. APWeb 2013: 595-608

Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya: Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning. PAKDD (1) 2013: 544-555

Timothy de Vries, Sanjay Chawla, Michael E. Houle: Density-preserving projections for large-scale local anomaly detection. Knowl. Inf. Syst. 32(1): 25-52 (2012)

Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao: An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries. Australasian Conference on Artificial Intelligence 2012: 649-660

Nguyen Lu Dang Khoa, Sanjay Chawla: Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers. Discovery Science 2012: 7-21

Sanjay Chawla, Yu Zheng, Jiafeng Hu: Inferring the Root Cause in Road Traffic Anomalies. ICDM 2012: 141-150

Sakshi Babbar, Sanjay Chawla: Mining Causal Outliers Using Gaussian Bayesian Networks. ICTAI 2012: 97-104

Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey (Eds.): Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7301, Springer 2012, isbn 978-3-642-30216-9

Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey (Eds.): Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7302, Springer 2012, isbn 978-3-642-30219-0

Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri: SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. CoRR abs/1201.2969 (2012)

Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Christen: Robust Record Linkage Blocking Using Suffix Arrays and Bloom Filters. TKDD 5(2): 9 (2011)

Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng: On Mining Anomalous Patterns in Road Traffic Streams. ADMA (2) 2011: 237-251

Dominic Tsang, Sanjay Chawla: A robust index for regular expression queries. CIKM 2011: 2365-2368

Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xie Xing: Discovering spatio-temporal causal interactions in traffic data streams. KDD 2011: 1010-1018

Wei Liu, Sanjay Chawla: Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets. PAKDD (2) 2011: 345-356

Wei Liu, Sanjay Chawla: A Quadratic Mean based Supervised Learning Model for Managing Data Skewness. SDM 2011: 188-198

Nguyen Lu Dang Khoa, Sanjay Chawla: Online Anomaly Detection Systems Using Incremental Commute Time. CoRR abs/1107.3894 (2011)

Dominic Tsang, Sanjay Chawla: An index for regular expression queries: Design and implementation. CoRR abs/1108.1228 (2011)

Nguyen Lu Dang Khoa, Sanjay Chawla: Large Scale Spectral Clustering Using Approximate Commute Time Embedding. CoRR abs/1111.4541 (2011)

Sanjay Chawla, David J. Hand, Vasant Dhar: Outlier detection special issue. Data Min. Knowl. Discov. 20(2): 189-190 (2010)

Sanjay Chawla: Feature Selection, Association Rules Network and Theory Building. Journal of Machine Learning Research - Proceedings Track 10: 14-21 (2010)

Wei Liu, Sanjay Chawla: Mining adversarial patterns via regularized loss minimization. Machine Learning 81(1): 69-83 (2010)

Sakshi Babbar, Sanjay Chawla: On Bayesian Network and Outlier Detection. COMAD 2010: 125

Timothy de Vries, Sanjay Chawla, Michael E. Houle: Finding Local Anomalies in Very High Dimensional Space. ICDM 2010: 128-137

Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab Zaidi: Network Anomaly Detection Using a Commute Distance Based Approach. ICDM Workshops 2010: 943-950

Nguyen Lu Dang Khoa, Sanjay Chawla: Robust Outlier Detection Using Commute Time and Eigenspace Embedding. PAKDD (2) 2010: 422-434

Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla: A Robust Decision Tree Algorithm for Imbalanced Data Sets. SDM 2010: 766-777

Ilia Zvedeniouk, Sanjay Chawla: Angle Tree: Nearest Neighbor Search in High Dimensions with Low Intrinsic Dimensionality. CoRR abs/1003.5474 (2010)

Gaurav Pandey, Sanjay Chawla, Simon K. Poon, Bavani Arunasalam, Joseph G. Davis: Association Rules Network: Definition and Applications. Statistical Analysis and Data Mining 1(4): 260-279 (2009)

Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Christen: Robust record linkage blocking using suffix arrays. CIKM 2009: 305-314

Wei Liu, Sanjay Chawla: A Game Theoretical Model for Adversarial Learning. ICDM Workshops 2009: 25-30

Sanjay Chawla, Kamalakar Karlapalem, Vikram Pudi (Eds.): Proceedings of the 15th International Conference on Management of Data, December 9-12, 2009, International School of Information Management, Mysore, India. Computer Society of India 2009

Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi (Eds.): New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers. Lecture Notes in Computer Science 5433, Springer 2009, isbn 978-3-642-00398-1

Florian Verhein, Sanjay Chawla: Mining spatio-temporal patterns in object mobility databases. Data Min. Knowl. Discov. 16(1): 5-38 (2008)

Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh Anh Pham: Disk-Based Sampling for Outlier Detection in High Dimensional Data. COMAD 2008: 40-50

Elizabeth Wu, Wei Liu, Sanjay Chawla: Spatio-temporal Outlier Detection in Precipitation Data. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 115-133

Sanjay Chawla: Patterns, Complex. Encyclopedia of GIS 2008: 849-851

Tara McIntosh, Sanjay Chawla: High Confidence Rule Mining for Microarray Analysis. IEEE/ACM Trans. Comput. Biology Bioinform. 4(4): 611-623 (2007)

Florian Verhein, Sanjay Chawla: Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets. ICDM 2007: 679-684

Elizabeth Wu, Sanjay Chawla: Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation. ICDM Workshops 2007: 685-692

Ghazi Al-Naymat, Sanjay Chawla, Joachim Gudmundsson: Dimensionality reduction for long duration and complex spatio-temporal queries. SAC 2007: 393-397

Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Chawla, Anastasios Viglas: An incremental data-stream sketch using sparse random projections. SDM 2007

Sanjay Chawla, Pei Sun: SLOM: a new measure for local spatial outliers. Knowl. Inf. Syst. 9(4): 412-429 (2006)

Florian Verhein, Sanjay Chawla: Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases. DASFAA 2006: 187-201

Florian Verhein, Sanjay Chawla: Geometrically Inspired Itemset Mining. ICDM 2006: 655-666

Bavani Arunasalam, Sanjay Chawla: CCCS: a top-down associative classifier for imbalanced class distribution. KDD 2006: 517-522

Pei Sun, Sanjay Chawla, Bavani Arunasalam: Mining for Outliers in Sequential Databases. SDM 2006

Daren Ler, Irena Koprinska, Sanjay Chawla: A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria. FLAIRS Conference 2005: 418-423

Lior Lukov, Sanjay Chawla, W. Bret Church: Conditional Random Fields for Transmembrane Helix Prediction. PAKDD 2005: 155-161

Bavani Arunasalam, Sanjay Chawla, Pei Sun: Striking Two Birds With One Stone: Simultaneous Mining of Positive and Negative Spatial Patterns. SDM 2005

Daren Ler, Irena Koprinska, Sanjay Chawla: A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria. Australian Conference on Artificial Intelligence 2004: 296-306

Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert Munro: Mining Complex Relationships in the SDSS SkyServer Spatial Database. COMPSAC Workshops 2004: 142-145

Daren Ler, Irena Koprinska, Sanjay Chawla: Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation. HIS 2004: 32-37

Sanjay Chawla, Joseph G. Davis, Gaurav Pandey: On Local Pruning of Association Rules Using Directed Hypergraphs. ICDE 2004: 832

Pei Sun, Sanjay Chawla: On Local Spatial Outliers. ICDM 2004: 209-216

Daren Ler, Irena Koprinska, Sanjay Chawla: A new landmarker generation algorithm based on correlativity. ICMLA 2004: 178-185

Shashi Shekhar, Sanjay Chawla: Spatial databases - a tour. Prentice Hall 2003, isbn 978-0-13-017480-2, pp. I-XXIII, 1-262

Xuan Liu, Shashi Shekhar, Sanjay Chawla: Object-Based Directional Query Processing in Spatial Databases. IEEE Trans. Knowl. Data Eng. 15(2): 295-304 (2003)

Robert Munro, Sanjay Chawla, Pei Sun: Complex Spatial Relationships. ICDM 2003: 227-234

Sanjay Chawla, Bavani Arunasalam, Joseph G. Davis: Mining Open Source Software (OSS) Data Using Association Rules Network. PAKDD 2003: 461-466

Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Sivakumar Ravada: Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach. IEEE Trans. Knowl. Data Eng. 14(6): 1400-1421 (2002)

Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsavai, Weili Wu, Sanjay Chawla: Spatial contextual classification and prediction models for mining geospatial data. IEEE Transactions on Multimedia 4(2): 174-188 (2002)

Sanjay Chawla, Shashi Shekhar, Weili Wu: A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data. JCIS 2002: 245-250

Xuan Liu, Shashi Shekhar, Sanjay Chawla: Maintaining Spatial Constraints Using a Dimension Graph Approach. International Journal on Artificial Intelligence Tools 10(4): 639-662 (2001)

Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Ozesmi: Extending Data Mining for Spatial Applications: A Case Study in Predicting Nest Locations. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 70-77

Xuan Liu, Shashi Shekhar, Sanjay Chawla: Processing object-oientation-based direction queries: a summary of results. ACM-GIS 2000: 69-76

Xuan Liu, Shashi Shekhar, Sanjay Chawla: Consistency checking for Euclidean spatial constraints: a dimension graph approach. ICTAI 2000: 333-

Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Ozesmi: Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining. MDM/KDD 2000: 14-24

Shashi Shekhar, Xuan Liu, Sanjay Chawla: An Object Model of Direction and Its Implications. GeoInformatica 3(4): 357-379 (1999)

Shashi Shekhar, Sanjay Chawla, Sivakumar Ravada, Andrew Fetterer, Xuan Liu, Chang-Tien Lu: Spatial Databases - Accomplishments and Research Needs. IEEE Trans. Knowl. Data Eng. 11(1): 45-55 (1999)

Shashi Shekhar, Ranga Raju Vatsavai, Sanjay Chawla, Thomas E. Burk: Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models. Integrated Spatial Databases 1999: 77-104

Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla: Optimizing Join Index Based Join Processing: A Graph Partitioning Approach. SRDS 1998: 302-308