Process mining put into context

IEEE Internet Computing

Volumn 16, Issue 1, 2012, Pages 82-86

  Van Der Aalst, Wil M P ^a   Dustdar, Schahram ^b  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

business intelligence; business process management; process mining

Indexed keywords

ANALYZING PROCESS; BUSINESS PROCESS; BUSINESS PROCESS MANAGEMENT; GUIDING PRINCIPLES; PROCESS MINING;

COMPETITIVE INTELLIGENCE; ENTERPRISE RESOURCE MANAGEMENT; MANAGEMENT SCIENCE;

DATA MINING;

EID: 84855703355     PISSN: 10897801     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIC.2012.12     Document Type: Article

References (6)

1. W.M.P. van der Aalst, Process Mining: Discovery, Conformance, and Enhancement of Business Processes, Springer, 2011.
2. IEEE Task Force on Process Mining, "Process Mining Manifesto," Proc. Business Process Mining Workshops, Lecture Notes in Business Information Processing, Springer, 2011.
3. W.M.P. van der Aalst, A.J.M.M. Weijters, and L. Maruster, "Workflow Mining: Discovering Process Models from Event Logs," IEEE Trans. Knowledge and Data Eng., vol. 16, no. 9, 2004, pp. 1128-1142.
4. R.P. Jagadeesh Chandra Bose et al., "Handling Concept Drift in Process Mining," Proc. Int'l Conf. Advanced Information Systems Eng. (CAiSE 11), LNCS 6741, Springer, 2011, pp. 391-405.
5. K. Ploesser et al., "Learning from Context to Improve Business Processes," BPTrends, Jan. 2009, pp. 1-7.
6. M. Rosemann, J. Recker, and C. Flender, "Contextualization of Business Processes," Int'l J. Business Process Integration and Management, vol. 3, no. 1, 2008, pp. 47-60.