Identifying frequent terms in text databases by association semantics

Publication Type:
Conference Proceeding
Citation:
Proceedings ITCC 2003, International Conference on Information Technology: Computers and Communications, 2003, pp. 672 - 675
Issue Date:
2003-01-01
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© 2003 IEEE. Existing information retrieval methods are mainly based on either term similarity or latent semantics. To reduce irrelevant information searched, this paper presents a new approach for information retrieval by applying the methodology of association rule mining to a text database. Association semantics among terms of a document and a query are considered, such that the semantic similarity between the document and query may be reduced if they are somewhat irrelevant.
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