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Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Processes Discovered from Event Log Datasets

Data and Process Engineering Research Lab., Division of Computer Science and Engineering, Kyonggi University, Gyeonggi-do 16227, Korea
Appl. Sci. 2020, 10(4), 1493; https://doi.org/10.3390/app10041493
Received: 30 November 2019 / Revised: 12 February 2020 / Accepted: 14 February 2020 / Published: 21 February 2020
(This article belongs to the Section Computing and Artificial Intelligence)
In this paper, we propose an integrated approach for seamlessly and effectively providing the mining and the analyzing functionalities to redesigning work for very large-scale and massively parallel process models that are discovered from their enactment event logs. The integrated approach especially aims at analyzing not only their structural complexity and correctness but also their animation-based behavioral properness, and becomes concretized to a sophisticated analyzer. The core function of the analyzer is to discover a very large-scale and massively parallel process model from a process log dataset and to validate the structural complexity and the syntactical and behavioral properness of the discovered process model. Finally, this paper writes up the detailed description of the system architecture with its functional integration of process mining and process analyzing. More precisely, we excogitate a series of functional algorithms for extracting the structural constructs and for visualizing the behavioral properness of those discovered very large-scale and massively parallel process models. As experimental validation, we apply the proposed approach and analyzer to a couple of process enactment event log datasets available on the website of the 4TU.Centre for Research Data. View Full-Text
Keywords: structured information control net; process mining; process analyzing; structural analysis; behavioral analysis; process rediscovery structured information control net; process mining; process analyzing; structural analysis; behavioral analysis; process rediscovery
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MDPI and ACS Style

Kim, K.P. Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Processes Discovered from Event Log Datasets. Appl. Sci. 2020, 10, 1493. https://doi.org/10.3390/app10041493

AMA Style

Kim KP. Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Processes Discovered from Event Log Datasets. Applied Sciences. 2020; 10(4):1493. https://doi.org/10.3390/app10041493

Chicago/Turabian Style

Kim, Kwanghoon P. 2020. "Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Processes Discovered from Event Log Datasets" Applied Sciences 10, no. 4: 1493. https://doi.org/10.3390/app10041493

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