Computer Science

Computer Science ›› 2018, Vol. 45 ›› Issue (8): 310-314.doi: 10.11896/j.issn.1002-137X.2018.08.056

• Interdiscipline & Frontier • Previous Articles    

Method of Mining Conditional Infrequent Behavior Based on Communication Behavior Profile

CAO Rui, FANG Xian-wen, WANG Li-li   

  1. College of Mathematics and Big Data,Anhui University of Science and Technology,Huainan,Anhui 232001,China
  • Received:2017-07-24 Online:2018-08-29 Published:2018-08-29

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Abstract: Conditional infrequent behavior refers to the behavior recorded by infrequent event traces with attribute va-lues.Mining the conditional infrequent behavior from the event log is one of the main contents of business process optimization.The existing methods remove low frequency behavior,but take less consideration of the conditional infrequent behavior under the perspective of data-flow between different module nets.Based on this,the paper presented a method of mining conditional infrequent behavior based on communication behavior profile.Based on the communication beha-vior profile theory between module nets,firstly,through a given business process source model,its executable event log is searched and the infrequent event traces are found,adding the relevant attributes and attribute values to the infrequent event traces to get the conditional infrequent traces.Secondly,by calculating condition dependent values of the communication features of different module nets,whether the conditional infrequent traces are deleted or retained can be determined.The optimized event log is given,and the business process optimization communication model is mined.Finally,the feasibility of the method is verified by a simulation.

Key words: Business process model, Communication behavioral profile, Infrequent behavior, Module net, Noise, Petri net

CLC Number: 

  • TP391.9
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