# Kamalika Das

According to our database

Collaborative distances:

^{1}, Kamalika Das authored at least 29 papers between 2006 and 2018.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis.

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017

ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Semantic Forward Propagation for Symbolic Regression.

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming.

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Distributed Support Vector Machines: An Overview.

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015

PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization.

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Large scale support vector regression for aviation safety.

Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.

J. Aerospace Inf. Sys., 2014

Localizing anomalous changes in time-evolving graphs.

Proceedings of the International Conference on Management of Data, 2014

2013

Sparse inverse kernel Gaussian Process regression.

Statistical Analysis and Data Mining, 2013

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.

J. Aerospace Inf. Sys., 2013

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2011

Distributed anomaly detection using 1-class SVM for vertically partitioned data.

Statistical Analysis and Data Mining, 2011

Scalable, asynchronous, distributed eigen monitoring of astronomy data streams.

Statistical Analysis and Data Mining, 2011

Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks.

Peer-to-Peer Networking and Applications, 2011

Distributed Monitoring of the R2 Statistic for Linear Regression.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Detecting Abnormal Machine Characteristics in Cloud Infrastructures.

Proceedings of the Data Mining Workshops (ICDMW), 2011

Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery.

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010

A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks.

Knowl. Inf. Syst., 2010

Block-GP: Scalable Gaussian Process Regression for Multimodal Data.

Proceedings of the ICDM 2010, 2010

Distributed Anomaly Detection using Satellite Data From Multiple Modalitie.

Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009

Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.

Proceedings of the SIAM International Conference on Data Mining, 2009

A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation.

Proceedings of the Proceedings P2P 2009, 2009

2008

Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network.

IEEE Trans. Knowl. Data Eng., 2008

2007

Algorithms for Distributed Data Stream Mining.

Proceedings of the Data Streams - Models and Algorithms, 2007

Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework.

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Peer-to-Peer Data Mining, Privacy Issues, and Games.

Proceedings of the Autonomous Intelligent Systems: Multi-Agents and Data Mining, 2007

2006

Client-side web mining for community formation in peer-to-peer environments.

SIGKDD Explorations, 2006