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Proceedings Paper

Information granulation for web-based information support systems
Author(s): JingTao Yao; Yiyu Y. Yao
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Paper Abstract

In this paper, we discuss the potential applications of data mining techniques for the design of Web based information retrieval support systems (IRSS). In particular, we apply clustering methods for the granulation of different entities involved in IRSS. Two types of granulations, single-level and multi-level granulations, are investigated. Issues of document space granulation, query space granulation, term space granulation, and retrieval results granulation are studied in detail. It is demonstrated that each different granulation supports a different user task.

Paper Details

Date Published: 21 March 2003
PDF: 9 pages
Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); doi: 10.1117/12.509158
Show Author Affiliations
JingTao Yao, Univ. of Regina (Canada)
Yiyu Y. Yao, Univ. of Regina (Canada)


Published in SPIE Proceedings Vol. 5098:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology V
Belur V. Dasarathy, Editor(s)

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