DocumentCode :
2132581
Title :
Business Rules Discovery from Process Design Repositories
Author :
Polpinij, Jantima ; Ghose, Aditya K. ; Dam, Hoa Khanh
Author_Institution :
Decision Syst. Lab. (DSL), Univ. of Wollongong, Wollongong, NSW, Australia
fYear :
2010
fDate :
5-10 July 2010
Firstpage :
614
Lastpage :
620
Abstract :
Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although they contain information that are valuable for the process of discovering business rules. This paper will propose an alternative approach to process mining in terms of using process designs as the mining resources. We propose a number of techniques for extracting business rules from repositories of business process designs or models, leveraging the well-known Apriori algorithm. Such business rules are then used as a prior knowledge for further analysing, verifying, and modifying process designs.
Keywords :
business data processing; data mining; Apriori algorithm; business rules; process design repositories; process mining; rule discovery; Algorithm design and analysis; Association rules; Logic gates; Organizations; Process design; Business Rules; Process Designs; the Apriori Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services (SERVICES-1), 2010 6th World Congress on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-8199-6
Electronic_ISBN :
978-0-7695-4129-7
Type :
conf
DOI :
10.1109/SERVICES.2010.73
Filename :
5575506
Link To Document :
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