Kamalika Das

发表

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

Kun Liu, Phuong Nguyen, Hillol Kargupta, 2006, SKDD.

Sparse inverse kernel Gaussian Process regression

Kamalika Das, Ashok N. Srivastava, A. Srivastava, 2013, Stat. Anal. Data Min..

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

Kamalika Das, Manali Sharma, Nikunj C. Oza, 2017, ECML/PKDD.

Distributed Monitoring of the R2 Statistic for Linear Regression

Kanishka Bhaduri, Kamalika Das, Chris Giannella, 2011, SDM.

Localizing anomalous changes in time-evolving graphs

Kumar Sricharan, Kamalika Das, K. Sricharan, 2014, SIGMOD Conference.

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

Kamalika Das, Ashok N. Srivastava, A. Srivastava, 2010, 2010 IEEE International Conference on Data Mining.

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

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2009, Knowledge and Information Systems.

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms

Kanishka Bhaduri, Kamalika Das, Santanu Das, 2013, J. Aerosp. Inf. Syst..

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

Kamalika Das, Anind K. Dey, Chandrayee Basu, 2015, UbiComp.

Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps

Kamalika Das, Soroosh Sorooshian, Ata Akbari Asanjan, 2020, KDD.

Privacy preserving distributed data mining based on multi-objective optimization and algorithmic game theory

Kamalika Das, 2009 .

Distributed anomaly detection using 1‐class SVM for vertically partitioned data

Kanishka Bhaduri, Kamalika Das, Petr Votava, 2011, Stat. Anal. Data Min..

Scalable, asynchronous, distributed eigen monitoring of astronomy data streams

Kirk D. Borne, Hillol Kargupta, Kanishka Bhaduri, 2011, Stat. Anal. Data Min..

Parallel and Distributed Data Mining for Astronomy Applications

Kanishka Bhaduri, Kamalika Das, Kanishka Bhaduri, 2012 .

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming

Sangram Ganguly, Kamalika Das, Josh C. Bongard, 2016, GECCO.

Distributed Monitoring of the R(sup 2) Statistic for Linear Regression

Kanishka Bhaduri, Kamalika Das, Chris Giannella, 2011 .

CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences pdf

Ole J. Mengshoel, Kamalika Das, Aniruddha Basak, 2018, ArXiv.

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms

Kanishka Bhaduri, Kamalika Das, Santanu Das, 2013, J. Aerosp. Inf. Syst..

Evaluation of Big Data Containers for Popular Storage, Retrieval, and Computation Primitives in Earth Science Analysis

Kamalika Das, T. Habermann, C. A. Mattmann, 2015 .

Detecting Abnormal Machine Characteristics in Cloud Infrastructures

Kanishka Bhaduri, Kamalika Das, Bryan L. Matthews, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Distributed Support Vector Machines: An Overview

Kanishka Bhaduri, Kamalika Das, Marco Stolpe, 2016, Solving Large Scale Learning Tasks.

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation

Kamalika Das, Manali Sharma, Mustafa Bilgic, 2016, ECML/PKDD.

Semantic Forward Propagation for Symbolic Regression

Sangram Ganguly, Kamalika Das, Josh C. Bongard, 2016, PPSN.

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Yuzuru Tanaka, 2017, Lecture Notes in Computer Science.

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

Kun Liu, Hillol Kargupta, Kanishka Bhaduri, 2008, IEEE Transactions on Knowledge and Data Engineering.

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

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2009, 2009 IEEE Ninth International Conference on Peer-to-Peer Computing.

Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN)

Kamalika Das, Ved Chirayath, Alan Li, 2020 .

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

Kun Liu, Hillol Kargupta, Kamalika Das, 2007, PKDD.

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

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2007, AIS-ADM.

Distributed Data Mining Bibliography

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2004 .

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

Kirk D. Borne, Hillol Kargupta, Kanishka Bhaduri, 2009, SDM.

Privacy-Preserving Data Analysis on Graphs and Social Networks

Hillol Kargupta, Kamalika Das, Tyrone Grandison, 2008, Next Generation of Data Mining.

Integrating Parallel and Distributed Data Mining Algorithms into the NASA Earth Exchange (NEX)

Ramakrishna R. Nemani, Kamalika Das, Ankush Khandelwal, 2014 .

Distributed Anomaly Detection using Satellite Data From Multiple Modalitie

Kanishka Bhaduri, Kamalika Das, Petr Votava, 2010, CIDU.

Algorithms for Distributed Data Stream Mining

Rong Chen, Ran Wolff, Hillol Kargupta, 2007, Data Streams - Models and Algorithms.

C3: A Collaborative Web Framework for NASA Earth Exchange

Brian Matthews, Kamalika Das, Ramakrishna Nemani, 2010 .

Classifying multimodal coral reef images using domain adaptation

Kamalika Das, Soroosh Sorooshian, M. Segal-Rosenhaimer, 2018 .

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Taneli Mielikäinen, 2017, Lecture Notes in Computer Science.

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines

Katharina Morik, Kanishka Bhaduri, Kamalika Das, 2013, ECML/PKDD.

Toward Justifiable Trust in Autonomous Systems Incorporating Human Knowledge in Autonomous Systems through Machine Learning

Kamalika Das, Nikunj C. Oza, Vijay Manikandan Janakiraman, 2018 .

SPARSE INVERSE GAUSSIAN PROCESS REGRESSION WITH APPLICATION TO CLIMATE NETWORK DISCOVERY

Kamalika Das, Ashok N. Srivastava, A. Srivastava, 2011 .

DiscoveringAnomalousAviationSafetyEventsUsingScalableData Mining Algorithms

Kanishka Bhaduri, Kamalika Das, Santanu Das, 2014 .

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

Sangram Ganguly, Kamalika Das, Josh C. Bongard, 2018, PPSN.

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

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2011, Peer-to-Peer Netw. Appl..

TR-CS _ 01 _ 07 A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining

Hillol Kargupta, Kamalika Das, Kun Liu, 2007 .

A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining

Hillol Kargupta, Kamalika Das, 2007 .