Data stream clustering: Challenges and issues

Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

Volumn , Issue , 2010, Pages 566-569

  Khalilian, Madjid ^a,b   Mustapha, Norwati ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Clustering; Concept drift; Data stream; K means

Indexed keywords

CLUSTERING; CLUSTERING TECHNIQUES; CONCEPT DRIFTS; DATA BASE; DATA SETS; DATA STREAM; DATA STREAM CLUSTERING; DATA STREAM MINING; EFFICIENT ALGORITHM; EFFICIENT STRATEGY; HIDDEN INFORMATION; K-MEANS; MAIN GROUP; MINING TECHNIQUES; PROBLEM DEFINITION; SECOND GROUP; STREAMING DATA; UNSUPERVISED METHOD; VERY LARGE DATABASE;

ALGORITHMS; CLUSTER ANALYSIS; DATA COMMUNICATION SYSTEMS; ENGINEERS; PROBLEM SOLVING; RESEARCH;

DATA MINING;

EID: 79952399177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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