Combining statistics and semantics via ensemble model for document clustering

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2009, Pages 1446-1450

  Fodeh, Samah Jamal ^a   Punch, William F ^a   Tan, Pang Ning ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Disambiguation; Ensemble learning; Text clustering; WordNet

Indexed keywords

BACKGROUND KNOWLEDGE; BINARY MODELS; DATA MINING ALGORITHM; DATA SETS; DOCUMENT CLUSTERING; DOMAIN EXPERTS; ENSEMBLE LEARNING; ENSEMBLE MODELS; EXPLICIT KNOWLEDGE; NEWSGROUPS; REUTERS-21578; SEMI-SUPERVISED LEARNING; TWO SOURCES; WORDNET;

CLUSTER ANALYSIS; DATA MINING; SEMANTIC WEB; SEMANTICS; SUPERVISED LEARNING;

ONTOLOGY;

EID: 72949118503     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529605     Document Type: Conference Paper

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