Distributed Data Mining in Peer-to-Peer Networks Export

@article{citeulike:3168339, abstract = {Peer-to-peer (P2P) networks are gaining popularity in many applications such as file sharing, e-commerce, and social networking, many of which deal with rich, distributed data sources that can benefit from data mining. P2P networks are, in fact,well-suited to distributed data mining (DDM), which deals with the problem of data analysis in environments with distributed data,computing nodes,and users. This article offers an overview of DDM applications and algorithms for P2P environments,focusing particularly on local algorithms that perform data analysis by using computing primitives with limited communication overhead. The authors describe both exact and approximate local P2P data mining algorithms that work in a decentralized and communication-efficient manner.}, address = {Los Alamitos, CA, USA}, author = {Datta, Souptik and Bhaduri, Kanishka and Giannella, Chris and Wolff, Ran and Kargupta, Hillol}, citeulike-article-id = {3168339}, citeulike-linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/MIC.2006.74}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/MIC.2006.74}, citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1704752}, doi = {10.1109/MIC.2006.74}, issn = {1089-7801}, journal = {IEEE Internet Computing}, keywords = {p2p}, number = {4}, pages = {18--26}, posted-at = {2009-11-06 03:17:37}, priority = {2}, publisher = {IEEE Computer Society}, title = {Distributed Data Mining in Peer-to-Peer Networks}, url = {http://dx.doi.org/10.1109/MIC.2006.74}, volume = {10}, year = {2006} }

TY - JOUR ID - citeulike:3168339 L3 - citeulike-article-id:3168339 N2 - Peer-to-peer (P2P) networks are gaining popularity in many applications such as file sharing, e-commerce, and social networking, many of which deal with rich, distributed data sources that can benefit from data mining. P2P networks are, in fact,well-suited to distributed data mining (DDM), which deals with the problem of data analysis in environments with distributed data,computing nodes,and users. This article offers an overview of DDM applications and algorithms for P2P environments,focusing particularly on local algorithms that perform data analysis by using computing primitives with limited communication overhead. The authors describe both exact and approximate local P2P data mining algorithms that work in a decentralized and communication-efficient manner. IS - 4 JF - IEEE Internet Computing SN - 1089-7801 AD - Los Alamitos, CA, USA EP - 26 TI - Distributed Data Mining in Peer-to-Peer Networks PB - IEEE Computer Society VL - 10 SP - 18 KW - p2p AU - Datta, Souptik AU - Bhaduri, Kanishka AU - Giannella, Chris AU - Wolff, Ran AU - Kargupta, Hillol PY - 2006/// UR - http://dx.doi.org/10.1109/MIC.2006.74 ER -