Design of automatic business process modeling method based on process logs

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

Volumn 13, Issue 1, 2007, Pages 24-30

  Li, Yan ^a   Feng, Yu Qiang ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Business process model; Markov transition matrix; Process logs; Process mining; WF net

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COMPUTER SUPPORTED COOPERATIVE WORK; DATA MINING; FORMAL LOGIC; KNOWLEDGE BASED SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROCESS ENGINEERING;

BUSINESS PROCESS MODELS; MARKOV TRANSITION MATRICES; MINING RULES; PROCESS FORMAL EXPRESSIONS; PROCESS LOGS; PROCESS MINING; WORKFLOW NETWORKS;

INFORMATION MANAGEMENT;

EID: 34047095099     PISSN: 10065911     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. COOK J. Process discovering and validation through event-data analysis[Z]. Boulder, Col., USA: University of Colorado, 1996.
2. AGRAWAL R, GUNOPULOS D, LEYMANN F. Mining process models from workflow logs[C]//Proceedings of the 6th International Conference on Extending Database Technology. Berlin, Germany: Springer-Verlag, 1998: 469-483.
3. COOK J, WOLF A. Automating process discovery through event-data analysis[C]//Proceedings of the 17th International Conference on Software Engineering. San Francisco, Cal., USA: ACM Press, 1995: 73-82.
4. COOK J, WOLF A. Discovering models of software processes from event-based data[J]. ACM Transactions on Software Engineering and Methodology, 1998, 7(3): 215-249.
5. SCHIMM G. Genetic linear business process modeling[C]//Proceedings of ER 2000 Workshop on Conceptual Approaches for E-Business and The World Wide Web and Conceptual Modeling. Berlin, Germany: Springer-Verlag, 2000: 31-39.
6. SCHIMM G. Process miner-a tool for mining process schemes from event-based data[C]//Proceedings of the 8th European Conference on Artificial Intelligence (JELIA). Berlin, Germany: Springer-Verlag, 2002, 356-367.
7. HERBST J, KARAGIANNIS D. Integrating machine learning and workflow management to support acquisition and adaptation of workflow models[J]. International Journal of Intelligent Systems in Accounting, Finance and Management, 2000, (9): 67-92.
8. HERBST J. Dealing with concurrency in workflow induction[C]//Proceedings of European Concurrent Engineering Conference. Leicester, UK: Society of Computer Simulation (SCS), 2000: 175-180.
9. AALST W, WEIJTERS A MARUSTER L. Workflow mining: discovering process models from event logs[J]. Knowledge and Data Engineering, 2004, (12), 369-378.
10. MARUSTER L, WEIJTERS A, J M M, VANDERAALST W M P, et al. Process mining: discovering direct successors in process logs[C]//Proceedings of the 5th International Conference on Discovery Science (Discovery Science 2002). Berlin, Germany: Springer-Verlag, 2002: 364-373.
11. MEDEIROS A, AALST W, WEIJTERS A. Workflow mining: current status and future directions[C]//Proceedings of the 11th International Conference on Cooperative Information Systems. Berlin, Germany: Springer-Verlag, 2003: 389-466.