Risk Rules Mining of Information System Based on Variable Precision Rough Set

摘要：

For evaluation of the risk in information system, variable precision rough set (VPRS) theory is emerging as a powerful tool for reasoning about data. The method for risk rules mining in information system based on VPRS is designed on the basis of related concepts of VPRS. Through the example of the assessment, it is considered that the method can not only reduce greatly the data, but also increase the validity of risk regulations.

关键词： VPRS information systems risk rules

作者: Xiaorong Cheng Xin Geng Huilan Zhao Mingquan Zhang

作者单位: School of Computer Science and Technology North China Electric Power University Baoding, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1574-1577

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）