含噪音处理的工作流挖掘算法在资源规划方面的应用  

Workflow Mining Algorithm with Noise Processing Applied in Resources Planning

作　　者：黄晓瑜[1] 黄晓雯[2] 

机构地区：[1]福州大学经济与管理学院,福州350116 [2]厦门大学统计系,厦门361005

出　　处：《计算机系统应用》2016年第1期107-113,共7页Computer Systems & Applications

摘　　要：为了提升业务流程执行效率,提高流程建模的客观性,在考虑日志文件存在噪音的前提下,对结构化工作流模型的四种基本结构进行分析,研究从日志文件中挖掘出流程模型的结构化算法.从获取日志文件信息、提炼简单活动序列、挖掘结构化分支模型和合并最终模型四个部分进行描述,然后以Petri网的形式展现最终模型,最后进行资源负载分析,为决策者进行资源规划提供决策依据,有利于提高资源利用率和流程执行效率,进而提高企业效益.To improve the efficiency of business process and the objectivity of process modeling, we analyse four basic structures of structural workflow net under the premise of the existence of noise in the log file, furthermore, mining algorithm of a structured process model from the log file was researched. This paper expatiates in four parts, includeinggetting information from log file, extracting all simple paths, mining structured branch model and merging final model, finally it shows the model in the form of Petri nets. On the basis of that, the analysis of resource is proposed, it offers the supporting decision tools for decision-makers in resource planning and improves the efficiency of resource utilizing, eventually it increases the efficiency of enterprises.

关 键 词：工作流挖掘 PETRI网 噪音 事件日志 结构化工作流网 

分 类 号：F205[经济管理—国民经济] TP311.52[自动化与计算机技术—计算机软件与理论]