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Granular fuzzy Web intelligence techniques for profitable data mining

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4 Author(s)
Yan-Qing Zhang ; Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA ; Shteynberg, M. ; Prasad, S.K. ; Sunderraman, R.

Data mining has a lot of e-commerce applications. The key problem is how to find useful hidden patterns for better business applications. For these problems, granular fuzzy Web intelligence techniques are used to implement the granular fuzzy Web data mining system for available historical data of the credit company customers. Fuzzy computing and granular computing are used to design the Web fuzzy-interval data mining system that can do fuzzy-interval data clustering under uncertainty.

Published in:

Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on  (Volume:2 )

Date of Conference:

25-28 May 2003

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