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