Web content management by self-organization

IEEE Transactions on Neural Networks

Volumn 16, Issue 5, 2005, Pages 1256-1268

  Freeman, Richard T ^a   Yin, Hujun ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bayesian information criterion (BIC); Content management; Document categorization; Hierarchical clustering; Information retrieval (IR); Self organizing maps (SOMs); Taxonomy generation; Topic hierarchy; Topological tree structure

Indexed keywords

INFORMATION THEORY; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; SELF ORGANIZING MAPS; STATISTICAL METHODS; TOPOLOGY; TREES (MATHEMATICS); WORLD WIDE WEB;

BAYESIAN INFORMATION CRITERION (BIC); CONTENT MANAGEMENT; DOCUMENT CATEGORIZATION; HIERARCHICAL CLUSTERING; KNOWLEDGE DISCOVERY; TAXONOMY GENERATION; TOPIC HIERARCHY; TOPOLOGICAL TREE STRUCTURE;

INFORMATION RETRIEVAL;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; DATA BASE; DOCUMENTATION; EVALUATION; INFORMATION RETRIEVAL; INTERNET; METHODOLOGY; NATURAL LANGUAGE PROCESSING; SIGNAL PROCESSING;

ABSTRACTING AND INDEXING; ARTIFICIAL INTELLIGENCE; DATABASE MANAGEMENT SYSTEMS; DOCUMENTATION; INFORMATION STORAGE AND RETRIEVAL; INTERNET; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 26844484637     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2005.853415     Document Type: Review

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