Workflow Mining Algorithm with Noise Processing Applied in Resources Planning
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    Abstract:

    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.

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黄晓瑜,黄晓雯.含噪音处理的工作流挖掘算法在资源规划方面的应用.计算机系统应用,2016,25(1):107-113

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History
  • Received:April 12,2015
  • Revised:May 28,2015
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  • Online: January 15,2016
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