 | 2011 |
| 16 |  | Kamalika Das,
Ashok N. Srivastava:
Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery.
CIDU 2011: 233-247 |
| 15 |  | Kanishka Bhaduri,
Kamalika Das,
Bryan L. Matthews:
Detecting Abnormal Machine Characteristics in Cloud Infrastructures.
ICDM Workshops 2011: 137-144 |
| 14 |  | Kanishka Bhaduri,
Kamalika Das,
Chris Giannella:
Distributed Monitoring of the R2 Statistic for Linear Regression.
SDM 2011: 438-449 |
| 13 |  | Kamalika Das,
Kanishka Bhaduri,
Hillol Kargupta:
Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks.
Peer-to-Peer Networking and Applications 4(2): 192-209 (2011) |
| 12 |  | Kanishka Bhaduri,
Kamalika Das,
Kirk D. Borne,
Chris Giannella,
Tushar Mahule,
Hillol Kargupta:
Scalable, asynchronous, distributed eigen monitoring of astronomy data streams.
Statistical Analysis and Data Mining 4(3): 336-352 (2011) |
| 11 |  | Kamalika Das,
Kanishka Bhaduri,
Petr Votava:
Distributed anomaly detection using 1-class SVM for vertically partitioned data.
Statistical Analysis and Data Mining 4(4): 393-406 (2011) |
| 2010 |
| 10 |  | Kanishka Bhaduri,
Kamalika Das,
Petr Votava:
Distributed Anomaly Detection using Satellite Data From Multiple Modalitie.
CIDU 2010: 109-123 |
| 9 |  | Kamalika Das,
Ashok N. Srivastava:
Block-GP: Scalable Gaussian Process Regression for Multimodal Data.
ICDM 2010: 791-796 |
| 8 |  | 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) |
| 2009 |
| 7 |  | 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 |
| 6 |  | 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: 245-156 |
| 2008 |
| 5 |  | 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) |
| 2007 |
| 4 |  | Kanishka Bhaduri,
Kamalika Das,
Hillol Kargupta:
Peer-to-Peer Data Mining, Privacy Issues, and Games.
AIS-ADM 2007: 1-10 |
| 3 |  | Hillol Kargupta,
Kamalika Das,
Kun Liu:
Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework.
PKDD 2007: 523-531 |
| 2 |  | 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 |
| 1 |  | Kun Liu,
Kanishka Bhaduri,
Kamalika Das,
Phuong Nguyen,
Hillol Kargupta:
Client-side web mining for community formation in peer-to-peer environments.
SIGKDD Explorations 8(2): 11-20 (2006) |