Chen Li

MinADEPT

Providing Full Life Cycle Support for Adaptive Processes By Advanced Mining Approaches

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 Team

MinAdept is a joint project with University of Twente, Technical University of Eindhoven and Ulm University as partners.

• Manfred Reichert (Primary investigator, University of Twente)

• Chen Li (University of Twente)

• Wil van der Aalst (TU Eindhoven)

• Christian G¨¹nther (TU Eindhoven)

• Helen Schonenberg (TU Eindhoven)

• Stefanie Rinderle (Ulm University)

Project 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. A case study in the healthcare sector will contribute to test and evaluate our approach.

Publications

• C.W. G¨¹nther, S. Rinderle, M. Reichert, W.M.P. van der Aalst: Change Mining in Adaptive Process Management Systems. Proc. 14th Int'l Conf. on Cooperative Information Systems (CoopIS'06), Montpellier, France, LNCS 4275, November 2006, pp. 309-326.

• W. van der Aalst, C. G¨¹nther, J. Recker, M. Reichert: Using Process Mining to Analyze and Improve Process Flexibility (Position Paper). 7th Int'l Workshop on Business Process Modeling, Development, and Support (BPMDS'06). In: Proc. CAiSE'06 Workshops, Luxembourg, June 2006, pp.168-177.

Contact

Chen Li

University of Twente, Information Systems Group

lic<at> ewi.utwente.nl

or

Dr. Manfred Reichert, Associate Professor

University of Twente, Information Systems Group

m.u.reichert<at>utwente.nl