Identifying Frequent Terms in Text Databases by Association Semantics

Publication Type:
Conference Proceeding
International Conference on Information Technology: Coding and Computing (ITCC 2003), 2003, pp. 672 - 675
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
2003001881.pdf320.61 kB
Adobe PDF
Existing information retrieval methods are mainly based on either term similarly or latent semantics. To reduce irrelevant information searched, this paper presents a new approach for information retrieval by applying methodology of association rules mining to a test database. Association semantics among terms of a document and a query are considered, such that the semantci similarity between the document and query may be reduced if they are somewhat irrelevant.
Please use this identifier to cite or link to this item: