Information granulation for web-based information support systems

JingTao Yao; Yiyu Y. Yao

doi:10.1117/12.509158

21 March 2003 Information granulation for web-based information support systems

JingTao Yao, Yiyu Y. Yao

Proceedings Volume 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V; (2003) https://doi.org/10.1117/12.509158
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

JingTao Yao and Yiyu Y. Yao "Information granulation for web-based information support systems", Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); https://doi.org/10.1117/12.509158

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