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Classification Analysis in Information Retrieval by Using Gauss Patterns
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 Title & Authors
Classification Analysis in Information Retrieval by Using Gauss Patterns
Lee, Jung-Jin; Kim, Soo-Kwan;
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 Abstract
This paper discusses problems of the Poisson Mixture model which Is widely used to decide the effective words in judging relevant document. Gamma Distribution model and Gauss Patterns model as an alternative of the Poisson Mixture model are studied. Classification experiments by using TREC sub-collection, WSJ[1,2] with MGQUERY and AidSearch3.0 system are discussed.
 Keywords
Poisson Mixture Model;Gauss Pattern;Information Retrieval;
 Language
English
 Cited by
1.
엔트로피 분포를 이용한 규칙기반 분류분석 연구,이정진;박해기;

Communications for Statistical Applications and Methods, 2010. vol.17. 4, pp.527-540 crossref(new window)
1.
Rule-Based Classification Analysis Using Entropy Distribution, Communications for Statistical Applications and Methods, 2010, 17, 4, 527  crossref(new windwow)
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