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Kanishka Bhaduri
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2010 – 2019
- 2017
- [j17]Koen Verstrepen, Kanishka Bhaduri, Boris Cule, Bart Goethals
:
Collaborative Filtering for Binary, Positiveonly Data. SIGKDD Explor. 19(1): 1-21 (2017) - 2016
- [c16]Marco Stolpe, Kanishka Bhaduri, Kamalika Das:
Distributed Support Vector Machines: An Overview. Solving Large Scale Learning Tasks 2016: 109-138 - 2015
- [c15]Kamalika Das, Kanishka Bhaduri, Bryan L. Matthews, Nikunj C. Oza:
Large scale support vector regression for aviation safety. IEEE BigData 2015: 999-1006 - 2014
- [j16]Bryan L. Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj C. Oza:
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. J. Aerosp. Inf. Syst. 11(7): 482 (2014) - [j15]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:
Exploiting graph-theoretic tools for matching in carpooling applications. J. Ambient Intell. Humaniz. Comput. 5(3): 393-407 (2014) - 2013
- [j14]Bryan L. Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj C. Oza:
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. J. Aerosp. Inf. Syst. 10(10): 467-475 (2013) - [j13]Laurent El Ghaoui
, Vu Pham, Guan-Cheng Li, Viet-An Duong, Ashok N. Srivastava, Kanishka Bhaduri:
Understanding large text corpora via sparse machine learning. Stat. Anal. Data Min. 6(3): 221-242 (2013) - [c14]Marco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik:
Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. ECML/PKDD (3) 2013: 321-336 - [p2]Kanishka Bhaduri, Marco Stolpe:
Distributed Data Mining in Sensor Networks. Managing and Mining Sensor Data 2013: 211-236 - 2012
- [j12]Katharina Morik, Kanishka Bhaduri, Hillol Kargupta:
Introduction to data mining for sustainability. Data Min. Knowl. Discov. 24(2): 311-324 (2012) - 2011
- [j11]Kamalika Das, Kanishka Bhaduri, Hillol Kargupta:
Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks. Peer-to-Peer Netw. Appl. 4(2): 192-209 (2011) - [j10]Kanishka Bhaduri, Kamalika Das, Kirk D. Borne, Chris Giannella, Tushar Mahule, Hillol Kargupta:
Scalable, asynchronous, distributed eigen monitoring of astronomy data streams. Stat. Anal. Data Min. 4(3): 336-352 (2011) - [j9]Kamalika Das, Kanishka Bhaduri, Petr Votava:
Distributed anomaly detection using 1-class SVM for vertically partitioned data. Stat. Anal. Data Min. 4(4): 393-406 (2011) - [j8]Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Srivastava:
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion. IEEE Trans. Syst. Man Cybern. Part B 41(1): 260-272 (2011) - [c13]Laurent El Ghaoui, Guan-Cheng Li, Viet-An Duong, Vu Pham, Ashok N. Srivastava, Kanishka Bhaduri:
Sparse Machine Learning Methods for Understanding Large Text Corpora. CIDU 2011: 159-173 - [c12]Kanishka Bhaduri, Kamalika Das, Bryan L. Matthews:
Detecting Abnormal Machine Characteristics in Cloud Infrastructures. ICDM Workshops 2011: 137-144 - [c11]Kanishka Bhaduri, Bryan L. Matthews, Chris Giannella:
Algorithms for speeding up distance-based outlier detection. KDD 2011: 859-867 - [c10]Kanishka Bhaduri, Kamalika Das, Chris Giannella:
Distributed Monitoring of the R2 Statistic for Linear Regression. SDM 2011: 438-449 - 2010
- [j7]Kamalika Das, Kanishka Bhaduri, Hillol Kargupta:
A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks. Knowl. Inf. Syst. 24(3): 341-367 (2010) - [c9]Kanishka Bhaduri, Kamalika Das, Petr Votava:
Distributed Anomaly Detection using Satellite Data From Multiple Modalitie. CIDU 2010: 109-123 - [c8]Kanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, Ashok N. Srivastava:
Fast and Flexible Multivariate Time Series Subsequence Search. ICDM 2010: 48-57
2000 – 2009
- 2009
- [j6]Ran Wolff, Kanishka Bhaduri, Hillol Kargupta:
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems. IEEE Trans. Knowl. Data Eng. 21(4): 465-478 (2009) - [c7]Kanishka Bhaduri, Ashok N. Srivastava:
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks. ICDM 2009: 31-40 - [c6]Santanu Das, Kanishka Bhaduri, Nikunj C. Oza, Ashok N. Srivastava:
?-Anomica: A Fast Support Vector Based Novelty Detection Technique. ICDM 2009: 101-109 - [c5]Kamalika Das, Kanishka Bhaduri, Hillol Kargupta:
A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation. Peer-to-Peer Computing 2009: 212-221 - [c4]Kamalika Das, Kanishka Bhaduri, Sugandha Arora, Wesley Griffin, Kirk D. Borne, Chris Giannella, Hillol Kargupta:
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms. SDM 2009: 247-258 - 2008
- [j5]Kanishka Bhaduri, Ran Wolff, Chris Giannella, Hillol Kargupta:
Distributed Decision-Tree Induction in Peer-to-Peer Systems. Stat. Anal. Data Min. 1(2): 85-103 (2008) - [j4]Kanishka Bhaduri, Hillol Kargupta:
A Scalable Local Algorithm for Distributed Multivariate Regression. Stat. Anal. Data Min. 1(3): 177-194 (2008) - [j3]Kamalika Das, Kanishka Bhaduri, Kun Liu, Hillol Kargupta:
Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network. IEEE Trans. Knowl. Data Eng. 20(4): 475-488 (2008) - [c3]Kanishka Bhaduri, Hillol Kargupta:
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks. SDM 2008: 153-164 - 2007
- [c2]Kanishka Bhaduri, Kamalika Das, Hillol Kargupta:
Peer-to-Peer Data Mining, Privacy Issues, and Games. AIS-ADM 2007: 1-10 - [p1]Kanishka Bhaduri, Kamalika Das, Krishnamoorthy Sivakumar, Hillol Kargupta, Ran Wolff, Rong Chen:
Algorithms for Distributed Data Stream Mining. Data Streams - Models and Algorithms 2007: 309-331 - 2006
- [j2]Souptik Datta, Kanishka Bhaduri, Chris Giannella, Ran Wolff, Hillol Kargupta:
Distributed Data Mining in Peer-to-Peer Networks. IEEE Internet Comput. 10(4): 18-26 (2006) - [j1]Kun Liu, Kanishka Bhaduri, Kamalika Das, Phuong Nguyen, Hillol Kargupta:
Client-side web mining for community formation in peer-to-peer environments. SIGKDD Explor. 8(2): 11-20 (2006) - [c1]Ran Wolff, Kanishka Bhaduri, Hillol Kargupta:
Local L2-Thresholding Based Data Mining in Peer-to-Peer Systems. SDM 2006: 430-441
Coauthor Index

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