[ecoop-info] CFP: Workshop on Decision Mining & Modeling for Business Processes (BPM 2013)

Jan Vanthienen Jan.Vanthienen at kuleuven.be
Wed Apr 3 10:24:03 CEST 2013


Call for papers Workshop on Decision Mining & Modeling for Business Processes (BPM 2013)

1st International Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP'13), held in conjunction with BPM 2013 Beijing China, August 26th - 30th 2013
http://www.econ.kuleuven.be/research/LIRIS/display.aspx?URL=demimop13\home

The DeMiMoP'13 is the 1st workshop aiming at discovering and utilizing the decision process. The goals of this workshop include:
- to examine the relationship between decisions and processes;
- to enhance decision mining based on process data;
- to examine decision goals, structures, and their connection with business processes, in order to find a good integration between decision modeling and process modeling;
- to study how different process models can be designed to fit a decision process, according to various optimization criteria, such as throughput time, use of resources, etc.;
- to show best practices in separating process and decision concerns.

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Important dates
Deadline for workshop paper submission: 25 May 2013
Notification of acceptance: 25 June 2013
Camera-ready final submission 23 July 2013
Workshop day: 26 August 2013
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Description
Contemporary socio-economic factors, such as globalization and mergers & acquisitions, have resulted in a need for streamlining business operations and induced a plethora of business process optimization and reengineering projects. As such, researchers and practitioners focus heavily on the optimization of end-to-end business processes. Business Process Management (BPM) and its life cycle activities - design, modeling, execution, monitoring and optimization of business processes - have indeed become a crucial part in business management.

Most processes and business process models incorporate decisions of some kind. Decisions are typically based upon a number of business (decision) rules that describe the premises and possible outcomes of a specific situation. Since these decisions guide the activities and workflows of all process stakeholders (participants, owners), they should be regarded as first-class citizens in Business Process Management. Sometimes, the entire decision can be included as a decision activity or as a service (a decision service). Typical decisions are: creditworthiness of the customer in a financial process, claim acceptance in an insurance process, eligibility decision in social security, etc. The process then handles a number of steps, shows the appropriate decision points and represents the path to follow for each of the alternatives.

Business decisions are important, but are often hidden in process flows, process activities or in the head of employees (tacit knowledge), so that they need to be discovered using state-of-art intelligent techniques. Decisions can be straightforward, based on a number of simple rules, or can be the result of complex analytics (decision mining). Moreover, in a large number of cases, a particular business process does not just contain decisions, but the entire process is about making a decision. The major purpose of a loan process e.g., or an insurance claim process, etc., is to prepare and make a final decision. The process shows different steps, models the communication between parties, records the decision and returns the result. The decision process is not the same thing as the decision structure (including requirements, dependencies, goals, data sources, etc.) because a specific process is only one possible way to model and implement a decision. There may be more possible process models and implementations for a specific decision. And the same decision could be used in multiple processes. It is not considered good practice to model the detailed decision paths in the business process model. Separating rules and decisions from the process simplifies the process model (separation of concerns).

Using this workshop we try to extend the reach of the BPM 2013 audience towards the decisions and rules community and increase the integration between different modeling perspectives.

Topics of interest
These include, but are not limited to:
- Decisions, rules and processes
- Decision mining
- Decision models and structures
- Data mining, rule mining, process mining
- Goal driven processes
- Process metrics
- Process maintenance and flexibility
- Human-centered and flexible processes
- Case studies

Submission
Papers should be submitted in advance and will be reviewed by at least three members of the program committee. Only papers in English will be accepted and must present original research contributions not concurrently submitted elsewhere. The length of a paper must not exceed 12 pages. Authors are requested to prepare submissions according to the LNCS/LNBIP format specified by Springer. The title page must contain a short abstract and a list of keywords, preferably using the list of topics given above.
All accepted papers will appear in the workshop proceedings published by Springer in the Lecture Notes in Business Information Processing (LNBIP) series. There will be a single LNBIP volume dedicated to the proceedings of all BPM workshops.
Accepted papers imply that at least one of the authors will register for the BPM 2013 conference and present the paper at the DeMiMoP'13 workshop.
Papers are submitted electronically through EasyChair:
https://www.easychair.org/conferences/?conf=demimop13

Organizers
Prof. dr. Bart Baesens, Department of Management Informatics, KU Leuven
Prof. dr. Guoqing Chen, Department of Management Science and Engineering, Tsinghua University
Prof. dr. Jan Vanthienen (corresponding organizer), Department of Management Informatics, KU Leuven
Prof. dr. Qiang Wei, Department of Management Science and Engineering, Tsinghua University

Program Committee
Dimitris Karagiannis, Universität Wien, Austria
Xunhua Guo, Tsinhua University, China
Hajo A. Reijers, Eindhoven University of Technology, The Netherlands
Robert Golan, DBmind technologies, United States
Markus Helfert, Dublin City University, Ireland
Leszek Maciaszek, Wroclaw University of Economics, Poland
Pericles Loucopoulos, Loughborough University, England
Josep Carmona, Facultat d'Informatica de Barcelona, Spain
Jochen De Weerdt, Queensland University of Technology, Australia
Seppe vanden Broucke, KU Leuven, Belgium
Filip Caron, KU Leuven, Belgium

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