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Mining variable fragments from process event logs

Author

Listed:
  • Asef Pourmasoumi

    (Ferdowsi University of Mashhad)

  • Mohsen Kahani

    (Ferdowsi University of Mashhad)

  • Ebrahim Bagheri

    (Ryerson University)

Abstract

Many peer-organizations are now using process-aware information systems for managing their organizational processes. Most of these peer-organizations have shared processes, which include many commonalities and some degrees of variability. Analyzing and mining the commonalities of these processes can have many benefits from the reusability point of view. In this paper, we propose an approach for extracting common process fragments from a collection of event logs. To this end, we first analyze the process fragment literature from a theoretical point of view, based on which we present a new process fragment definition, called morphological fragments to support composability and flexibility. Then we propose a novel algorithm for extracting such morphological fragments directly from process event logs. This algorithm is capable of eliciting common fragments from a family of processes that may not have been executed within the same application/organization. We also propose supporting algorithms for detecting and categorizing morphological fragments for the purpose of reusability. Our empirical studies show that our approach is able to support reusability and flexibility in process fragment identification.

Suggested Citation

  • Asef Pourmasoumi & Mohsen Kahani & Ebrahim Bagheri, 2017. "Mining variable fragments from process event logs," Information Systems Frontiers, Springer, vol. 19(6), pages 1423-1443, December.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:6:d:10.1007_s10796-016-9662-x
    DOI: 10.1007/s10796-016-9662-x
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    References listed on IDEAS

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    1. Jiexun Li & Harry Jiannan Wang & Xue Bai, 2015. "An intelligent approach to data extraction and task identification for process mining," Information Systems Frontiers, Springer, vol. 17(6), pages 1195-1208, December.
    2. Johny Ghattas & Pnina Soffer, 2009. "Evaluation of inter-organizational business process solutions: A conceptual model-based approach," Information Systems Frontiers, Springer, vol. 11(3), pages 273-291, July.
    3. Amit Basu & Robert W. Blanning, 2003. "Synthesis and Decomposition of Processes in Organizations," Information Systems Research, INFORMS, vol. 14(4), pages 337-355, December.
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    Cited by:

    1. Shuya Sun & Qingsheng Li, 2023. "A Behavior Change Mining Method Based on Complete Logs with Hidden Transitions and Their Applications in Disaster Chain Risk Analysis," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    2. Amit V. Deokar & Jie Tao, 0. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    3. Amit V. Deokar & Jie Tao, 2021. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 23(3), pages 753-772, June.

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