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A systematic mapping study of process mining
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AI
DOI：10.1080/17517575.2017.1402371.png)
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Abstract
En 中文
This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced discovery' (71%) as the main type of process mining addressed and categorical prediction' (25%) as the main mining task solved. The most applied traditional technique is the graph structure-based' ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are evolutionary computation' (9%) and decision tree' (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.
Keywords:
Data mining
machine learning
computational intelligence
business process management
process mining
systematic review
Journal
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3.9
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2.8K
Citations:
1.8K