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

• Published in: Applied sciences Vol. 10; no. 4; p. 1493
• Main Author: Kim, Kwanghoon Pio
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-02-2020
• Subjects: Animation; Architecture; Automation; behavioral analysis; Complexity; Computer architecture; Datasets; Functional integration; Information control; Integration; process analyzing; process mining; process rediscovery; Simulation; structural analysis; structured information control net; Websites
• DOI: 10.3390/app10041493
• EISSN: 2076-3417

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.