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Papers by Kanishka Bhaduri

Research paper thumbnail of Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

Peer to Peer Networking and Applications, 2011

Research paper thumbnail of A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks

Knowledge and Information Systems, 2010

... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffet... more ... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffett Field, CA 94035, USA e-mail: kdas1@cs ... Feature selection, as the name suggests, is a popular machine learning/data mining tool often used for identifying subsets of features ...

Research paper thumbnail of Local L2-Thresholding Based Data Mining in Peer-to-Peer Systems

Research paper thumbnail of Distributed Anomaly Detection using Satellite Data From Multiple Modalitie

... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] pre... more ... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] present a technique for outlier detection from meteorological data using a parallel imple-mentation of the well-known wavelet transformation. ...

Research paper thumbnail of Large scale support vector regression for aviation safety

2015 IEEE International Conference on Big Data (Big Data), 2015

Research paper thumbnail of An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks

Research paper thumbnail of Parallel and Distributed Data Mining for Astronomy Applications

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, 2012

Research paper thumbnail of Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms

Journal of Aerospace Information Systems, 2014

Research paper thumbnail of A local distributed peer-to-peer algorithm using multi-party optimization based privacy preservation for data mining primitive computation

2009 IEEE Ninth International Conference on Peer-to-Peer Computing, 2009

This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (... more This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggrega - tion useful for many advanced data mining/analysis tasks such as average/sum computation, decision tree induc- tion, feature selection, and more. Unlike most multi-party privacy-preserving data mining algorithms, this approach works in an asynchronous manner through local interac- tions and therefore, is highly scalable. It particularly de als with the distributed computation of the sum of a set of numbers stored at different peers in a P2P network in the context of a P2P web mining application. The proposed optimization-based privacy-preserving technique for com - puting the sum allows different peers to specify different privacy requirements without having to adhere to a global set of parameters for the chosen privacy model. Since dis- tributed sum computation is a frequently used primitive, the proposed approach is likely to have significant impact on many data mining tasks such as multi-party privacy- preserving clustering, frequent itemset mining, and stati s- tical aggregate computation.

Research paper thumbnail of Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

Peer-to-Peer Networking and Applications, 2010

Research paper thumbnail of Peer-to-Peer Data Mining, Privacy Issues, and Games

Lecture Notes in Computer Science, 2007

Research paper thumbnail of Detecting Abnormal Machine Characteristics in Cloud Infrastructures

2011 IEEE 11th International Conference on Data Mining Workshops, 2011

Research paper thumbnail of Algorithms for Distributed Data Stream Mining

Advances in Database Systems, 2007

The field of Distributed Data Mining (DDM) deals with the problem of analyzing data by paying car... more The field of Distributed Data Mining (DDM) deals with the problem of analyzing data by paying careful attention to the distributed computing, storage, communication, and human-factor related resources. Unlike the traditional centralized systems, DDM offers a ...

Research paper thumbnail of Distributed anomaly detection using 1-class SVM for vertically partitioned data

Statistical Analysis and Data Mining, 2011

... Correspondence to: Kamalika Das (Kamalika.Das@nasa.gov) † A shorter version of this paper was... more ... Correspondence to: Kamalika Das (Kamalika.Das@nasa.gov) † A shorter version of this paper was published in NASA Conference on Intelligent ... Barua and Alhajj [11] present a technique for outlier detection from meteorological data using a parallel implementation of the well ...

Research paper thumbnail of A Scalable Local Algorithm for Distributed Multivariate Regression

Statistical Analysis and Data Mining, 2008

Research paper thumbnail of A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks

Knowledge and Information Systems, 2010

... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffet... more ... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffett Field, CA 94035, USA e-mail: kdas1@cs ... Feature selection, as the name suggests, is a popular machine learning/data mining tool often used for identifying subsets of features ...

Research paper thumbnail of A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems

IEEE Transactions on Knowledge and Data Engineering, 2000

Research paper thumbnail of Introduction to data mining for sustainability

Data Mining and Knowledge Discovery, 2012

Research paper thumbnail of Distributed anomaly detection using satellite data from multiple modalities

... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] pre... more ... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] present a technique for outlier detection from meteorological data using a parallel imple-mentation of the well-known wavelet transformation. ...

Research paper thumbnail of Decision Tree Induction in Peer-to-Peer Systems

Research paper thumbnail of Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

Peer to Peer Networking and Applications, 2011

Research paper thumbnail of A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks

Knowledge and Information Systems, 2010

... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffet... more ... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffett Field, CA 94035, USA e-mail: kdas1@cs ... Feature selection, as the name suggests, is a popular machine learning/data mining tool often used for identifying subsets of features ...

Research paper thumbnail of Local L2-Thresholding Based Data Mining in Peer-to-Peer Systems

Research paper thumbnail of Distributed Anomaly Detection using Satellite Data From Multiple Modalitie

... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] pre... more ... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] present a technique for outlier detection from meteorological data using a parallel imple-mentation of the well-known wavelet transformation. ...

Research paper thumbnail of Large scale support vector regression for aviation safety

2015 IEEE International Conference on Big Data (Big Data), 2015

Research paper thumbnail of An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks

Research paper thumbnail of Parallel and Distributed Data Mining for Astronomy Applications

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, 2012

Research paper thumbnail of Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms

Journal of Aerospace Information Systems, 2014

Research paper thumbnail of A local distributed peer-to-peer algorithm using multi-party optimization based privacy preservation for data mining primitive computation

2009 IEEE Ninth International Conference on Peer-to-Peer Computing, 2009

This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (... more This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggrega - tion useful for many advanced data mining/analysis tasks such as average/sum computation, decision tree induc- tion, feature selection, and more. Unlike most multi-party privacy-preserving data mining algorithms, this approach works in an asynchronous manner through local interac- tions and therefore, is highly scalable. It particularly de als with the distributed computation of the sum of a set of numbers stored at different peers in a P2P network in the context of a P2P web mining application. The proposed optimization-based privacy-preserving technique for com - puting the sum allows different peers to specify different privacy requirements without having to adhere to a global set of parameters for the chosen privacy model. Since dis- tributed sum computation is a frequently used primitive, the proposed approach is likely to have significant impact on many data mining tasks such as multi-party privacy- preserving clustering, frequent itemset mining, and stati s- tical aggregate computation.

Research paper thumbnail of Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

Peer-to-Peer Networking and Applications, 2010

Research paper thumbnail of Peer-to-Peer Data Mining, Privacy Issues, and Games

Lecture Notes in Computer Science, 2007

Research paper thumbnail of Detecting Abnormal Machine Characteristics in Cloud Infrastructures

2011 IEEE 11th International Conference on Data Mining Workshops, 2011

Research paper thumbnail of Algorithms for Distributed Data Stream Mining

Advances in Database Systems, 2007

The field of Distributed Data Mining (DDM) deals with the problem of analyzing data by paying car... more The field of Distributed Data Mining (DDM) deals with the problem of analyzing data by paying careful attention to the distributed computing, storage, communication, and human-factor related resources. Unlike the traditional centralized systems, DDM offers a ...

Research paper thumbnail of Distributed anomaly detection using 1-class SVM for vertically partitioned data

Statistical Analysis and Data Mining, 2011

... Correspondence to: Kamalika Das (Kamalika.Das@nasa.gov) † A shorter version of this paper was... more ... Correspondence to: Kamalika Das (Kamalika.Das@nasa.gov) † A shorter version of this paper was published in NASA Conference on Intelligent ... Barua and Alhajj [11] present a technique for outlier detection from meteorological data using a parallel implementation of the well ...

Research paper thumbnail of A Scalable Local Algorithm for Distributed Multivariate Regression

Statistical Analysis and Data Mining, 2008

Research paper thumbnail of A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks

Knowledge and Information Systems, 2010

... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffet... more ... K. Das (B) Stinger Ghaffarian Technologies Inc., IDU Group, NASA Ames Research Center, Moffett Field, CA 94035, USA e-mail: kdas1@cs ... Feature selection, as the name suggests, is a popular machine learning/data mining tool often used for identifying subsets of features ...

Research paper thumbnail of A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems

IEEE Transactions on Knowledge and Data Engineering, 2000

Research paper thumbnail of Introduction to data mining for sustainability

Data Mining and Knowledge Discovery, 2012

Research paper thumbnail of Distributed anomaly detection using satellite data from multiple modalities

... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] pre... more ... Copyright © 2010 Kanishka Bhaduri, Kamalika Das and Petr Votava. ... Barua and Alhajj [2] present a technique for outlier detection from meteorological data using a parallel imple-mentation of the well-known wavelet transformation. ...

Research paper thumbnail of Decision Tree Induction in Peer-to-Peer Systems