Text clustering using frequent itemsets

Knowledge-Based Systems

Volumn 23, Issue 5, 2010, Pages 379-388

  Zhang, Wen ^a   Yoshida, Taketoshi ^b   Tang, Xijin ^c   Wang, Qing ^a  

^a INSTITUTE OF SOFTWARE   (China)

^b JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^c INSTITUTE OF SYSTEMS SCIENCE   (China)

Author keywords

Competitive learning; Document clustering; Frequent itemsets; Maximum Capturing; Similarity measure

Indexed keywords

ASSOCIATION RULE MINING; COMPETITIVE LEARNING; DOCUMENT CATEGORIZATION; DOCUMENT CLUSTERING; EXISTING METHOD; FREQUENCY-SENSITIVE; FREQUENT ITEMSET; FREQUENT ITEMSETS; FREQUENT PATTERNS; NORMALIZATION PROCESS; NUMBER OF CLUSTERS; SIMILARITY MEASURE; TEXT CLUSTERING; TEXT MINING;

ASSOCIATIVE PROCESSING; DATA MINING; EXPERIMENTS; INFORMATION RETRIEVAL;

CLUSTER ANALYSIS;

EID: 77955229300     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.01.011     Document Type: Article

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