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Proceedings of the 2nd International Symposium on Web Information Systems and Applications (WISA 2009)

Nanchang, China, May 22-24, 2009

Editors: Fei Yu, Jiexian Zeng, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN001

ISBN: 978-952-5726-00-8 (Print), 978-952-5726-01-5 (CD-ROM)

Page(s): 136-139

A Novel Risk Recognition Method in Web Services

           E Xu, Shao Liangshan, Sun Fuming, Cao Guanghui, Wu Hao

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Abstract

To deal with the risk recognition from the complex Web environment , a novel risk recognition method was studied through attribute reduction and rule extration based on rough set. According to the indiscernible relation in rough set, discernible vector and its addition rule were defined. And meanwhile the core attribute set and the attribute reduction were obtained by scanning the information table just only one time depending on the discernible vector addition rule. Attribute value reduction was realized through gradually deleting the redundant attribute value for every rule in the information table by the correlation of condition attributes and decision attributes. Finally, a concise rule set for risk recognition was obtained. The illustration and experiment results indicate that the method is effective and efficient.

Index Terms

web services; risk recognition; Rough Set; data mining

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