Passage-based document retrieval as a tool for text mining with user’s information needs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2226, Issue , 2001, Pages 155-169

  Kise, Koichi ^a,b   Junker, Markus ^a   Dengel, Andreas ^a   Matsumoto, Keinosuke ^b  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^b Osaka Prefecture University   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; SEMANTICS; TEXT PROCESSING; VECTOR SPACES;

CONVENTIONAL METHODS; DENSITY DISTRIBUTIONS; DOCUMENT RETRIEVAL; LATENT SEMANTIC INDEXING; MULTI-TOPIC; REAL-WORLD; TEXT MINING; VECTOR SPACE MODELS;

INFORMATION RETRIEVAL;

EID: 84943237172     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45650-3_16     Document Type: Conference Paper

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