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Mining batch processing workflow models from event logs
Author(s) -
Wen Yiping,
Chen Zhigang,
Liu Jianxun,
Chen Jinjun
Publication year - 2013
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.2991
Subject(s) - workflow , computer science , process mining , batch processing , workflow technology , data mining , process (computing) , event (particle physics) , business process , workflow engine , complex event processing , schedule , business process discovery , feature (linguistics) , process modeling , business process management , database , business process modeling , work in process , engineering , programming language , linguistics , operations management , physics , operating system , philosophy , quantum mechanics
SUMMARY The employment of batch processing in workflow is to model and schedule activity instances in multiple workflow cases of the same workflow type to optimize business processes execution dynamically. Although our previous works have preliminarily investigated its model and implementation, it is still necessary to deal with its model design problem. Process mining techniques allow for the automated discovery of process models from event logs and have received notable attentions in researches recently. Following these researches, this paper proposes an approach to mine batch processing workflow models from event logs by considering the batch processing relations among activity instances in multiple workflow cases. The notion of batch processing feature and its corresponding mining algorithm are also presented for discovering the batch processing area in the model by using the input and output data information of activity instances in events. The algorithms presented in this paper can help to enhance the applicability of existing process mining approaches and broaden the process mining spectrum. Copyright © 2013 John Wiley & Sons, Ltd.