计算机工程与应用2018，Vol.54Issue(9)：37-41,5.DOI:10.3778/j.issn.1002-8331.1703-0012
基于拟间接依赖的流程挖掘优化分析
Optimization analysis of process mining based on quasi indirect dependence
摘要
Abstract
Business process mining aims to dig out the process model to meet the needs of people from the event logs. Most of the previous methods are based on the direct dependencies between events to build process models. Previous methods have some limitations.This paper proposes a method of optimization analysis of process mining based on quasi indirect dependency.Firstly,according to the event log,the initial model is constructed on the basis of behavior profile. Then,this paper finds the transition pairs with quasi indirect dependency through the basic constraint body of the ILP-based process discovery algorithm based on example event log.The model is improved and the optimized model is mined. Finally,a concrete example analysis is given to illustrate the effectiveness of the proposed method.关键词
Petri网/行为轮廓/事件日志/过程挖掘/拟间接依赖关系Key words
Petri net/behavior profiles/event log/process mining/quasi indirect dependence分类
信息技术与安全科学引用本文复制引用
曹蕊,方贤文,王丽丽..基于拟间接依赖的流程挖掘优化分析[J].计算机工程与应用,2018,54(9):37-41,5.基金项目
国家自然科学基金(No.61572035,No.61402011) （No.61572035,No.61402011）
安徽省自然科学基金(No.1508085MF111,No.1608085QF149) （No.1508085MF111,No.1608085QF149）
安徽省高校自然科学基金重点项目(No.KJ2016A208) （No.KJ2016A208）
安徽省学术和技术带头人资助项目(No.DG119) （No.DG119）
安徽省优秀青年人才项目(No.ZY290). （No.ZY290）
