A framework for high-quality clustering uncertain data stream over sliding windows

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7418 LNCS, Issue , 2012, Pages 308-313

  Cao, Keyan ^a   Wang, Guoren ^a,b   Han, Donghong ^a   Ma, Yue ^a   Ma, Xianzhe ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

clustering; data mining; Uncertain data stream

Indexed keywords

CLUSTERING; CLUSTERING PROCESS; DATA STREAM; ESTIMATED ERROR; EXPECTED DISTANCE; EXPECTED VALUES; HIGH QUALITY; IMPRECISE DATA; PERFORMANCE STUDY; SLIDING WINDOW; SYNTHETIC DATASETS; UNCERTAIN DATA STREAMS; VORONOI DIAGRAMS;

CLUSTERING ALGORITHMS; DATA COMMUNICATION SYSTEMS; INFORMATION MANAGEMENT;

DATA MINING;

EID: 84865617406     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32281-5_30     Document Type: Conference Paper

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