Agent-Based Subspace Clustering

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Show simple item record Luo, Chao en_US Zhao, Yanchang en_US Luo, Dan en_US Zhang, Chengqi en_US Cao, Wei en_US
dc.contributor.editor Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava en_US 2012-10-12T03:36:21Z 2012-10-12T03:36:21Z 2011 en_US
dc.identifier 2010005230 en_US
dc.identifier.citation Luo Chao et al. 2011, 'Agent-Based Subspace Clustering', , Springer-Verlag, Berlin, , pp. 370-381. en_US
dc.identifier.issn 978-3-642-20846-1 en_US
dc.identifier.other E1 en_US
dc.description.abstract This paper presents an agent-based algorithm for discovering subspace clusters in high dimensional data. Each data object is represented by an agent, and the agents move from one local environment to another to find optimal clusters in subspaces. Heuristic rules and objective functions are defined to guide the movements of agents, so that similar agents(data objects) go to one group. The experimental results show that our proposed agent-based subspace clustering algorithm performs better than existing subspace clustering methods on both F1 measure and Entropy. The running time of our algorithm is scalable with the size and dimensionality of data. Furthermore, an application in stock market surveillance demonstrates its effectiveness in real world applications. en_US
dc.language en_US
dc.publisher Springer-Verlag en_US
dc.relation.isbasedon en_US
dc.title Agent-Based Subspace Clustering en_US
dc.parent Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin en_US
dc.identifier.startpage 370 en_US
dc.identifier.endpage 381 en_US FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080604 en_US
dc.personcode 100788 en_US
dc.personcode 998488 en_US
dc.personcode 996795 en_US
dc.personcode 011221 en_US
dc.personcode 11311038 en_US
dc.percentage 50 en_US Database Management en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD en_US 20110524 en_US
dc.location.activity Shenzhen, China en_US
dc.description.keywords agent-based algorithm, stock market, subspace clusters en_US

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