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基于同步管理器的过程挖掘算法

Process mining algorithm based on synchronized-manager

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【作者】 黄红梅章云

【Author】 HUANG Hong-mei1,2, ZHANG Yun11.College of Automation, Guangdong University of Technology, Guangzhou Guangdong 510090, China;2. Department of Computer and Information Engineering, Guangdong Technical College of Water Resources and Electric Engineering, Guangzhou Guangdong 510635, China

【机构】 广东工业大学自动化学院广东水利电力职业技术学院计算机信息工程系

【摘要】 强循环、弱循环、跳、不可见任务等复杂结构是业务流程中常见的流程结构,从事件日志中挖掘这些复杂结构是亟待解决的问题。分析了强循环、弱循环、跳、不可见任务的特征并给出了它们的判定定理,在此基础上结合同步管理器模型提出了γ+算法,该算法克服了目前过程挖掘算法的限制,在挖掘流程结构的同时挖掘管理行为,能够处理强循环、弱循环、跳、不可见任务等复杂结构,实例分析表明了算法的有效性与可适用性。

【Abstract】 Strong-loop, weak-loop, jump and invisible tasks are ubiquitous between tasks in the business process, and mining them from the event logs is a problem to be solved. The features of strong-loop, weak-loop, jump and invisible tasks were analyzed, and the determinant theorems were offered, on the basis of which the γ+ algorithm was proposed with synchronized-manager models. The γ+ algorithm overcomes the limitation of the converntional mining algorithms, executes the mining of management actions along with the mining of process structure,and manages to solve problems such as strong-loop, weak-loop, jump and invisible tasks. Experimental results indicate the effectiveness and applicability.

  • 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2008年12期
  • 【分类号】TP311.13
  • 【被引频次】5
  • 【下载频次】96
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