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www.engineeringvillage.com Detailed results: 1 Downloaded: 1/1/2015 1. A density grid-based clustering algorithm for uncertain data streams Accession number: 20141817668199 Authors: Tu, Li (1); Cui, Peng (1); Tang, Keming (2) Author affiliation: (1) Jiangsu Engineering RandD Center for Information Fusion Software, Department of Computer Science, Jiangyin Polytechnic College, Jiangyin, China; (2) College of Information Science and Technology, Yancheng Teachers University, Yancheng, China Source title: Proceedings - 2013 10th Web Information System and Application Conference, WISA 2013 Abbreviated source title: Proc. Web Inf. Syst. Appl. Conf., WISA Monograph title: Proceedings - 2013 10th Web Information System and Application Conference, WISA 2013 Issue date: 2013 Publication year: 2013 Pages: 347-350 Article number: 6778662 Language: English Document type: Conference article (CA) Conference name: 2013 10th Web Information System and Application Conference, WISA 2013 Conference date: November 1, 2013 - November 3, 2013 Conference location: Yangzhou, Jiangsu, China Conference code: 104623 Sponsor: China Computer Federation; Chinese Computer Federation; IEEE Computer Society; Technical Committee of Office Automation of Publisher: IEEE Computer Society Abstract: This paper proposes a grid-based clustering algorithm Clu-US which is competent to find clusters of nonconvex shapes on uncertain data stream. Clu-US maps the uncertain data tuples to the grid space which could store and update the summary information of stream. The uncertainty of data is taken into account for calculating the probability center of a grid. Then, the distance between the probability centers of two adjacent grids is adopted for measuring whether they are 'close enough' in grids merging process. Furthermore, a dynamic outlier deletion mechanism is developed to improve clustering performance. The experimental results show that Clu-US outperforms other algorithms in terms of clustering quality and speed. © 2013 IEEE. Number of references: 11 Main heading: Clustering algorithms Controlled terms: Data communication systems - Data mining - Probability - World Wide Web Uncontrolled terms: clustering - Clustering quality - grid - Grid-based clustering algorithm - Non-convex shapes Uncertain data streams - Uncertain datas - Uncertain streams Classification code: 716 Telecommunication; Radar, Radio and Television - 717 Optical Communication - 718 Telephone Systems and Related Technologies; Line Communications - 721 Computer Circuits and Logic Elements 723 Computer Software, Data Handling and Applications - 922.1 Probability Theory DOI: 10.1109/WISA.2013.71 Database: Compendex Compilation and indexing terms, Copyright 2014 Elsevier Inc. Data Provider: Engineering Village Content provided by Engineering Village. Copyright 2015 Page 1 of 1