Local L2-Thresholding Based Data Mining in Peer-to-Peer Systems. - Ran Wolff 003; Kanishka Bhaduri; Hillol Kargupta (SDM, 2006)

Distributed Data Mining in Peer-to-Peer Networks. - Souptik Datta; Kanishka Bhaduri; Chris Giannella; Ran Wolff 003; Hillol Kargupta (IEEE Internet Comput., 2006)

Client-side web mining for community formation in peer-to-peer environments. - Kun Liu 001; Kanishka Bhaduri; Kamalika Das; Phuong Nguyen; Hillol Kargupta (SIGKDD Explor., 2006)

Peer-to-Peer Data Mining, Privacy Issues, and Games. - Kanishka Bhaduri; Kamalika Das; Hillol Kargupta (AIS-ADM, 2007)

Algorithms for Distributed Data Stream Mining. - Kanishka Bhaduri; Kamalika Das; Krishnamoorthy Sivakumar; Hillol Kargupta; Ran Wolff 003; Rong Chen (Data Streams - Models and Algorithms, 2007)

An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks. - Kanishka Bhaduri; Hillol Kargupta (SDM, 2008)

A Scalable Local Algorithm for Distributed Multivariate Regression. - Kanishka Bhaduri; Hillol Kargupta (Stat. Anal. Data Min., 2008)

Distributed Decision-Tree Induction in Peer-to-Peer Systems. - Kanishka Bhaduri; Ran Wolff 003; Chris Giannella; Hillol Kargupta (Stat. Anal. Data Min., 2008)

Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network. - Kamalika Das; Kanishka Bhaduri; Kun Liu 001; Hillol Kargupta (IEEE Trans. Knowl. Data Eng., 2008)

A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks. - Kanishka Bhaduri; Ashok N. Srivastava (ICDM, 2009)

?-Anomica: A Fast Support Vector Based Novelty Detection Technique. - Santanu Das; Kanishka Bhaduri; Nikunj C. Oza; Ashok N. Srivastava (ICDM, 2009)

A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation. - Kamalika Das; Kanishka Bhaduri; Hillol Kargupta (Peer-to-Peer Computing, 2009)

Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms. - Kamalika Das; Kanishka Bhaduri; Sugandha Arora; Wesley Griffin; Kirk D. Borne; Chris Giannella; Hillol Kargupta (SDM, 2009)

A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems. - Ran Wolff 002; Kanishka Bhaduri; Hillol Kargupta (IEEE Trans. Knowl. Data Eng., 2009)

Distributed Anomaly Detection using Satellite Data From Multiple Modalitie. - Kanishka Bhaduri; Kamalika Das; Petr Votava (CIDU, 2010)

Fast and Flexible Multivariate Time Series Subsequence Search. - Kanishka Bhaduri; Qiang Zhu 002; Nikunj C. Oza; Ashok N. Srivastava (ICDM, 2010)

A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks. - Kamalika Das; Kanishka Bhaduri; Hillol Kargupta (Knowl. Inf. Syst., 2010)

Sparse Machine Learning Methods for Understanding Large Text Corpora. - Laurent El Ghaoui; Guan-Cheng Li; Viet-An Duong; Vu Pham 001; Ashok N. Srivastava; Kanishka Bhaduri (CIDU, 2011)

Detecting Abnormal Machine Characteristics in Cloud Infrastructures. - Kanishka Bhaduri; Kamalika Das; Bryan L. Matthews (ICDM Workshops, 2011)

Algorithms for speeding up distance-based outlier detection. - Kanishka Bhaduri; Bryan L. Matthews; Chris Giannella (KDD, 2011)

Distributed Monitoring of the R2 Statistic for Linear Regression. - Kanishka Bhaduri; Kamalika Das; Chris Giannella (SDM, 2011)

Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks. - Kamalika Das; Kanishka Bhaduri; Hillol Kargupta (Peer-to-Peer Netw. Appl., 2011)

Scalable, asynchronous, distributed eigen monitoring of astronomy data streams. - Kanishka Bhaduri; Kamalika Das; Kirk D. Borne; Chris Giannella; Tushar Mahule; Hillol Kargupta (Stat. Anal. Data Min., 2011)

Distributed anomaly detection using 1-class SVM for vertically partitioned data. - Kamalika Das; Kanishka Bhaduri; Petr Votava (Stat. Anal. Data Min., 2011)

Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion. - Kanishka Bhaduri; Mark D. Stefanski; Ashok N. Srivastava (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Introduction to data mining for sustainability. - Katharina Morik; Kanishka Bhaduri; Hillol Kargupta (Data Min. Knowl. Discov., 2012)

Distributed Data Mining in Sensor Networks. - Kanishka Bhaduri; Marco Stolpe (Managing and Mining Sensor Data, 2013)

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. - Marco Stolpe; Kanishka Bhaduri; Kamalika Das; Katharina Morik (ECML/PKDD (3), 2013)

Understanding large text corpora via sparse machine learning. - Laurent El Ghaoui; Vu Pham 001; Guan-Cheng Li; Viet-An Duong; Ashok N. Srivastava; Kanishka Bhaduri (Stat. Anal. Data Min., 2013)

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. - Bryan L. Matthews; Santanu Das; Kanishka Bhaduri; Kamalika Das; Rodney Martin; Nikunj C. Oza (J. Aerosp. Inf. Syst., 2014)

Exploiting graph-theoretic tools for matching in carpooling applications. - Luk Knapen; Ansar-Ul-Haque Yasar; Sungjin Cho; Daniel Keren; Abed Abu Dbai; Tom Bellemans; Davy Janssens; Geert Wets; Assaf Schuster; Izchak Sharfman; Kanishka Bhaduri (J. Ambient Intell. Humaniz. Comput., 2014)

Large scale support vector regression for aviation safety. - Kamalika Das; Kanishka Bhaduri; Bryan L. Matthews; Nikunj C. Oza (IEEE BigData, 2015)

Distributed Support Vector Machines: An Overview. - Marco Stolpe; Kanishka Bhaduri; Kamalika Das (Solving Large Scale Learning Tasks, 2016)

Collaborative Filtering for Binary, Positiveonly Data. - Koen Verstrepen; Kanishka Bhaduri; Boris Cule; Bart Goethals (SIGKDD Explor., 2017)