A maximal frequent itemset approach for web document clustering

Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)

Volumn , Issue , 2004, Pages 970-977

  Zhuang, Ling ^a   Dai, Honghua ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DISTANCE MEASUREMENT; INFORMATION RETRIEVAL SYSTEMS; INTERNET; PROBLEM SOLVING; SEARCH ENGINES; TEXT PROCESSING; USER INTERFACES; VECTORS; ITERATIVE METHODS;

EXPECTATION-MAXIMIZATION (EM); HUMAN USERS; SET DISCOVERY; WEB DOCUMENT SETS; CLUSTERING; DATA SETS; DOCUMENTS; HIGH DIMENSIONAL DATA;

WORLD WIDE WEB;

EID: 9744238099     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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