Mining web documents to find additional query terms using fuzzy association rules-Reference-Cited by-同舟云学术

Mining web documents to find additional query terms using fuzzy association rules

Published:2004-11 Issue:1 Volume:148 Page:85-104
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Martı́n-Bautista M.J.,Sánchez D.,Chamorro-Martı́nez J.,Serrano J.M.,Vila M.A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference53 articles.

1. R. Agrawal, T. Imielinski, A. Swami, Mining association rules between set of items in large databases, in: Proc. 1993 ACM SIGMOD Conf., 1993, pp. 207–216.

2. Local feedback in full-text retrieval systems;Attar;J. Assoc. Comput. Mach,1977

3. W.H. Au, K.C.C. Chan, An effective algorithm for discovering fuzzy rules in relational databases, in: Proc. IEEE Internat. Conf. on Fuzzy Systems, vol. II, 1998, pp. 1314–1319.

4. Measuring the accuracy and importance of association rules;Berzal;Intell. Data Anal,2002

5. Knowledge-based approaches to query expansion in information retrieval;Bodner,1996

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