Log mining method based on Petri network behavior profile

Abstract

The invention provides a log mining method based on a Petri network behavior profile, and belongs to the field of process mining. The method aims to improve a business progress model by means of implementation of a mining technology, so that procedure operation efficiency and service quality are improved. The method includes the steps that firstly, log sequences are extracted from a track generated in program running and pre-processing is carried out; the behavior relation between two adjacent actions is analyzed, the behavior profile is built, and an initial model is built according to direct dependency; then the log sequence with the largest occurrence frequency is replayed, and two procedure models superior to the initial model are found according to indexes; the consistency degrees of the two models and the initial model are respectively compared by means of behavior profile consistency so as to choose the more superior model; the last two steps are repeated until log replay is finished so as to obtain the optimal business procedure model. The log mining method can guarantee that the business procedure meets the requirement of functionality, enables procedure behaviors to be concise, and shortens program running time.

Description

technical field [0001] The invention relates to a business process mining method in the field of business process management, which is suitable for extracting a log sequence from a trajectory generated by program operation to optimize and mine business processes, and belongs to the field of process mining. Background technique [0002] Business process management is an increasingly important part of enterprise operation. The quality of business process management directly affects the benefits of enterprises, and the quality of business processes directly affects the efficiency of business process management. In this case, enterprises always want to have better business processes, and business process mining is a method that can improve business processes. Business process mining is a relatively new application of data mining in the field of business process management. By analyzing the logs generated by business process operations, the real process of business processes can ...

AI Technical Summary

Problems solved by technology

[0003] For the problem of process mining, the existing mining methods are mainly based on behavior semantics and process behavior methods. There have been a lot of research on process mining based on behavior semantics, but relatively few studies on process mining based on process behavior, especially For the mining of business processes, and most of them have not carried out consistent measurement of the pros and cons of mining methods from the aspect of process behavior, and in the previous mining, the concept of behavior profile has never been added

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