Title :
Risk Rules Mining of Information System Based on Variable Precision Rough Set
Author :
Cheng, Xiaorong ; Geng, Xin ; Zhao, Huilan ; Zhang, Mingquan
Author_Institution :
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
Abstract :
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.
Keywords :
data mining; data reduction; fuzzy reasoning; fuzzy set theory; information systems; risk analysis; rough set theory; VPRS theory; data reduction; fuzzy data reasoning; information system; risk rule mining; variable precision rough set theory; Automation; Computer networks; Computer science; Data processing; Information systems; Information technology; Internet; Risk analysis; Safety; Set theory; VPRS; information systems; risk rules;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.385
