计算机工程与应用2017，Vol.53Issue(20)：237-242,6.DOI:10.3778/j.issn.1002-8331.1703-0093
融合特征网与模块网的业务过程挖掘
Business process mining based on feature nets and module nets
摘要
Abstract
Process mining techniques aim to improve and maintain the business process via analyzing process model, which is derived based on the event log of information system.At present,many business processes interact with each other in a modular way.A lot of algorithms have been proposed,the processing of multi module still has limitations.A business mining method is proposed based on feature nets and module nets.According to the log,features are divided into different modules.On this basis,a feature net with features interactive between module and modular nets with features interactive in the module will be gained.Then modular nets and feature nets are fused,and a complete model will be obtained.Finally, the feasibility of the algorithm is illustrated through an example of online shopping.关键词
Petri网/过程挖掘/过程发现/业务流程Key words
Petri net/process mining/process discovery/business process分类
信息技术与安全科学引用本文复制引用
程腾腾,方贤文,王丽丽,刘祥伟..融合特征网与模块网的业务过程挖掘[J].计算机工程与应用,2017,53(20):237-242,6.基金项目
国家自然科学基金(No.61572035,No.61402011,No.61272153) （No.61572035,No.61402011,No.61272153）
安徽省自然科学基金(No.1508085MF111) （No.1508085MF111）
安徽省高校自然科学基金重点项目(No.KJ2014A067). （No.KJ2014A067）
