VPRS-BASED TEXT MINING FOR RISK KNOWLEDGE DISCOVERY IN PETROLEUM INVESTMENT

摘要：

In this paper,we explore applying variable precision rough sets(VPRS)to text mining for risk character discovery in petroleum investment.Firstly,we design a circular text mining process where risk knowledge is dynamically extracted Next,we introduce the application of VPRS into the risk information classification table Two precision control parameters,lower limit/and upper limit u, are used to define the relations between the conditional probability of objective set X and the approximate regions Then, risk probabilistic decision tables are established Moreover,by using VPRS model,we mine related risk probabilistic rules and the significance of risk factors from probabilistic decision tables.Finally,a case study is presented to illustrate the approach and a conclusion is made.

作者: GANG XIE SHOUYANG WANG WUYI YUE

作者单位: Academy of Mathematics and Systems Science.Chinese Academy of Sciences Beijing 100190,China Department of Intelligence andInformatics.Konan University,8-9-1 Okamoto,Kobe 658-8501,Japan

会议类型: 国际会议

会议名称: The 10th International Symposium on Knowledge and System Sciences,The 6th International Conference on Knowledge Management(第10届国际知识与系统科学大会、第6届知识管理国际会议)

会议地点: 香港

会议语种:英文

页码: 150-160

在线出版日期: 2009-12-03（万方平台首次上网日期，不代表论文的发表时间）