Title :
Business Rule Patterns and Their Application to Process Analytics
Author :
Caron, Francois ; Vanthienen, Jan ; Baesens, Bart
Author_Institution :
Fac. of Bus. & Econ., KU Leuven, Leuven, Belgium
Abstract :
The advanced rule-based compliance checking approach enables a timely investigation of a complete set of enriched process event data. By providing more than sixty formally grounded business rule patterns, we are able to remove the partial fit between the abilities of traditional process mining techniques and the contemporary requirements of compliance checking. In this contribution we demonstrate the applicability of the approach on two case studies: a purchase-to-pay process and a reimbursement process.
Keywords :
business data processing; data mining; analytic application process; business rule patterns; compliance checking; data process; process mining techniques; purchase-to-pay process; reimbursement process; Authorization; Business; Context; Integrated circuits; Process control; Registers; Taxonomy; Business rules; Compliance checking; Enterprise systems; Process mining;
Conference_Titel :
Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2013 17th IEEE International
Conference_Location :
Vancouver, BC
DOI :
10.1109/EDOCW.2013.9
