PBWA:A Provenance-Based What-If Analysis Approach for Data Mining Processes

作     者：KE Jie DONG Hongbin TAN Chengyu LIANG Yiwen 

作者机构：Computer SchoolWuhan University International School of SoftwareWuhan University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2017年第26卷第5期

页      面：986-992页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0701[理学-数学] 

基　　金：supported by the National Natural Science Foundation of China(No.61170306) 

主　　题：Data mining What-if analysis Data provenance Provenance(PROV) 

摘      要：This paper presents a Provenance-based what-if analysis approach(PBWA) for data mining processes,so decision makers can examine the latest mining result under hypothetical business contexts.It fills the gap that data mining only reveals past status of enterprises with historical data.Provenance information is a kind of metadata of data mining processes.PBWA uses it to identify relevant operation path and intermediate results that is affected by hypothetical business contexts.It refreshes the mining result by partially rerunning the affected portions.Different from previous studies only for relational operations,PBWA can take more general operations into account.Besides,it focuses on the whole mining processes.Experiments demonstrate that when the affected ratio is less than 74% and 87% in different contexts,PBWA can achieve better time performance.