Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China

Research Article

A Review of Process Discovery Methods and Conformance Checking Methods

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  • @INPROCEEDINGS{10.4108/eai.12-1-2024.2347216,
        author={Yuheng  Zhang and Yi  Zhang},
        title={A Review of Process Discovery Methods and Conformance Checking Methods},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12--14, 2024, Ningbo, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2024},
        month={6},
        keywords={data mining; process mining; conformance check; petri net},
        doi={10.4108/eai.12-1-2024.2347216}
    }
    
  • Yuheng Zhang
    Yi Zhang
    Year: 2024
    A Review of Process Discovery Methods and Conformance Checking Methods
    BDEDM
    EAI
    DOI: 10.4108/eai.12-1-2024.2347216
Yuheng Zhang1, Yi Zhang2,*
  • 1: Chongqing University of Science and Technology
  • 2: Institute of Chengdu-Chongqing Economic Zone Development
*Contact email: zhy_gsdx@163.com

Abstract

With the ascent of data science, process mining has garnered increased attention. The objective of process mining is to extract valuable insights from event logs, facilitating the discovery, monitoring, and enhancement of real business processes. Process mining is primarily categorized into three research areas: process discovery, conformance checking, and process enhancement. The aim of process discovery is the automated extraction of process models from event logs. Conformance checking is primarily employed to assess the quality of the extracted models, thus evaluating the effectiveness of process discovery methods. Process enhancement involves expanding the model based on the outcomes of conformance checking. Conformance checking is primarily categorized into four quality dimensions: fitness, precision, generalization, and understandability. This paper predominantly examines process discovery and conformance checking methodologies.