MinAdept - Mining Process Variants & Process Changes

Description

Recently many efforts have been undertaken to make process management systems (PMS) more flexible and several approaches for adaptive process management have emerged. The basic idea behind them is to enable dynamic changes of different process aspects (e.g., control / data flow, resources) and at different process levels. For example, ad-hoc changes conducted at the process instance level (e.g., to add or shift steps) make it possible to flexibly adapt single process instances to exceptional or changing situations. As a positive side-effect we obtain much more meaningful process logs when compared to existing PMS. So far, adaptive PMS have not addressed the fundamental question what we can learn from this additional information and how to derive optimized process models from it. Process mining techniques offer promising perspectives, but have focused on the analysis of pure execution logs so far. The MinADEPT project will close this gap and provide a comprehensive approach for the intelligent mining of adaptive processes.

This involves three problems: First, we have to determine which information about ad-hoc deviations should be logged to achieve optimal mining results. Second, we have to develop advanced mining techniques which utilize execution and change logs. Third, we have to integrate these techniques with existing adaptive PMS in order to provide full process life cycle support. With ADEPT and ProM the proposal aims at the integration and extension of two of the most powerful frameworks existing in this context.

Figure: Mining Execution Logs and Change Logs in MinADEPT

Partners

  • University of Ulm
    Institute of Databases and Information Systems
  • University of Twente, The Netherlands

  • TU Eindhoven, The Netherlands

Funding

NWO (Netherlands Organization for Scientific Research)

Duration

2007 - 2010

Additional Information

Project Homepage

Publications

| 2011 | 2010 | 2009 | 2008 | 2007 | 2006 |

2011

Li, Chen and Reichert, Manfred and Wombacher, Andreas (2011) Mining Business Process Variants: Challenges, Scenarios, Algorithms. Data & Knowledge Engineering, 70(5): 409-434, Elsevier. file
Weber, Barbara and Reichert, Manfred and Mendling, Jan and Reijers, Hajo (2011) Refactoring Large Process Model Repositories. Computers in Industry, 62(5): 467-486, Elsevier. file

2010

Li, Chen and Reichert, Manfred and Wombacher, Andreas (2010) The MinAdept Clustering Approach for Discovering Reference Process Models out of Process Variants. International Journal of Cooperative Information Systems, 19(3 & 4): 159-203. file
Li, Chen (2010) Mining Process Model Variants: Challenges, Techniques, Examples. Phd thesis, University of Twente, The Netherlands. file

2009

Li, Chen and Reichert, Manfred and Wombacher, Andreas (2009) Mining Based on Learning from Process Change Logs. In: 4th International Workshop on Business Process Intelligence (BPI'08), Workshop held in conjunction with BPM'08 conference., Milan, Italy, September 2008, LNBIP 17, Springer, pp. 121-133. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2009) What are the Problem Makers: Discovering the Most Frequently Changed Activities in Adaptive Processes. Technical Report TR-CTIT-09-05, University of Twente. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2009) A Heuristic Approach for Discovering Reference Models by Mining Process Model Variants. Technical Report TR-CTIT-09-08, University of Twente. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2009) What are the Problem Makers: Ranking Activities According to their Relevance for Process Changes. In: IEEE 7th Int'l Conference on Web Services (ICWS'09), Los Angeles, CA, USA, 6-10 July 2009, IEEE Computer Society Press, pp. 51-58. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2009) Discovering Reference Models by Mining Process Variants Using a Heuristic Approach. In: 7th Int'l Conference on Business Process Management (BPM'09), Ulm, Germany, 8-10 September 2009, LNCS 5701, Springer, pp. 344-362. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2009) Representing Block-structured Process Models as Order Matrices: Basic Concepts, Formal Properties, Algorithms. Technical Report University of Twente. file

2008

Guenther, Christian W. and Rinderle-Ma, Stefanie and Reichert, Manfred and van der Aalst, Wil M.P. and Recker, Jan (2008) Using Process Mining to Learn from Process Changes in Evolutionary Systems. Int'l Journal of Business Process Integration and Management, Special Issue on Business Process Flexibility, 3(1): 61-78. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2008) Mining Process Variants: Goals and Issues (Short Paper). In: IEEE 5th Int'l Conference on Services Computing (SCC 2008) ; Work-in-Progress Track, Honolulu, Hawaii, USA, July 2008, IEEE Computer Society Press, pp. 573-576. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2008) On Measuring Process Model Similarity based on High-level Change Operations. In: 27th International Conference on Conceptual Modeling (ER'08), Barcelona, Spain, October 2008, LNCS 5231, Springer, pp. 248-264. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2008) Discovering Reference Process Models by Mining Process Variants. In: Proc. 6th Int'l Conference on Web Services (ICWS'08), Beijing, China, September 2008, IEEE Computer Society Press, pp. 45-53. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2008) Issues in Process Variants Mining. Technical Report TR-CTIT-08-10, University of Twente. file
Li, Chen and Reichert, Manfred and Wombacher, Andreas (2008) Discovering Process Reference Models from Process Variants Using Clustering Techniques. Technical Report TR-CTIT-08-30, University of Twente. file

2007

Li, Chen and Reichert, Manfred and Wombacher, Andreas (2007) On Measuring Process Model Similarity based on High-level Change Operations. Technical Report TR-CTIT-07-89, University of Twente. file
Rinderle, Stefanie and Jurisch, Martin and Reichert, Manfred (2007) On Deriving Net Change Information From Change Logs - The DELTALAYER-Algorithm. In: Proc. 12th Conf. Datenbanksysteme in Business, Technologie und Web (BTW'07), Aachen, Germany, Lecture Notes in Informatics (LNI) P-103, Koellen-Verlag, pp. 364-381. file

2006

Guenther, Christian W. and Rinderle, Stefanie and Reichert, Manfred and van der Aalst, Wil M.P. (2006) Change Mining in Adaptive Process Management Systems. In: Proc. 14th Int'l Conf. on Cooperative Information Systems (Coopls'06), Montpellier, France, October 2006, LNCS 4275, Springer, pp. 309-326. file
Guenther, Christian W. and Rinderle, Stefanie and Reichert, Manfred and van der Aalst, Wil M.P. and Recker, Jan (2006) Using Process Mining to Learn from Process Changes in Evolutionary Systems.. Technical Report WP 192, Eindhoven University of Technology.
Rinderle, Stefanie and Reichert, Manfred and Jurisch, Martin and Kreher, Ulrich (2006) On Representing, Purging, and Utilizing Change Logs in Process Management Systems. In: Proc. 4th Int'l Conf. on Business Process Management (BPM'06), Vienna, Austria, LNCS 4102, Springer, pp. 241-256. file
Weber, Barbara and Wild, Werner and Lauer, Markus and Reichert, Manfred (2006) Improving Exception Handling by Discovering Change Dependencies in Adaptive Process Management Systems. In: Proc. 2nd Int'l Workshop on Business Process Intelligence (BPI'06), Vienna, Austria, LNCS 4103, Springer, pp. 93-104. file
van der Aalst, Wil M.P. and Guenther, Christian W. and Recker, Jan and Reichert, Manfred (2006) Using Process Mining to Analyze and Improve Process Flexibility (Position Paper). In: Proc. CAiSE'06 Workshops - 7th Int'l Workshop on Business Process Modeling, Development, and Support (BPMDS'06), Luxembourg, June 2006, pp. 168-177. file