Status and analysis of process mining algorithm classification

In view of the rapid development of process mining, the rapid update of related algorithms, and the urgent need to sort out a reasonable classification method, the research on the current status of process mining algorithm classification is carried out. First, conduct statistical visualization analy...

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Bibliographic Details
Main Authors: Lin, Wenxiang, Liu, Desheng
Format: Conference Proceeding
Language:English
Subjects:
algorithm characteristics
algorithm classification
Analytical models
Heuristic algorithms
Machine learning algorithms
Mathematical models
Petri nets
Process control
process mining
Solid modeling
visualization
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Summary:In view of the rapid development of process mining, the rapid update of related algorithms, and the urgent need to sort out a reasonable classification method, the research on the current status of process mining algorithm classification is carried out. First, conduct statistical visualization analysis of process mining algorithms from different data sources, then analyze and summarize the specific algorithm classification literature at home and abroad in chronological order, and discuss its classification methods and advantages and disadvantages. From the research results, there are four main classification methods of algorithms, among which, based on the characteristics of the algorithm, it has the advantages of small crossover and obvious algorithm characteristics.
ISSN:2693-3128
DOI:10.1109/ITNEC52019.2021.9587033