Computer Science ›› 2017, Vol. 44 ›› Issue (1): 259-263, 294.doi: 10.11896/j.issn.1002-137X.2017.01.048

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Constraint-based Activity Clustering in Business Process Model Abstraction

WANG Nan and SUN Shanwu   

  • Online:2018-11-13 Published:2018-11-13

Abstract: ion WANG Nan SUN Shan-wu (College of Management Science and Information Engineering,Jilin University of Finance and Economics,Changchun 130117,China)(Laboratory of Logistics Industry Economy and Intelligent Logistics,Jilin University of Finance and Economics,Changchun 130117,China) Abstract This paper interpreted activity aggregation of business process model abstraction as a problem of semi-supervised clustering.It chooses appropriate activity sets as initial clusters based on a heuristic method to improve the quality of abstraction.In order to satisfy the order-preserving requirement of the model transformation and the business semantic integrity of the subprocesses,the control flow is further considered when classifying an activity to a cluster (candidate subprocess).A constraint function was designed with two parts:semantic distance and control flow conflict.The first part computs semantic distance between activities and subprocesses by introducing virtual document to represent them.In the second part,according to four ordering relations of behavioral profiles,a function is designed to show the control flow conflict caused by activity classifying.The proposed method is applied to a process model repository,comparing to the traditional k-means based activity clustering,such as methods of randomly generating the initial clusters and only based on semantics distance measurement, the proposed method is more closely approximating the decisions of the involved modelers to cluster activities.

Key words: Business process model abstraction,Constraint-based activity clustering,Behavioral profiles

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