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2nd Int. Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’14)

2nd International Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’14)

In conjunction with BPM 2014 Eindhoven, The Netherlands, September 7th - 11th 2014

2nd International Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’14)

Held in conjunction with BPM 2014 Eindhoven, The Netherlands, September 7th - 11th 2014

The BPM 2014 conference has been relocated to Eindhoven, The Netherlands. Check the conference site for details.

The DeMiMoP’14 is the 2nd workshop aiming at discovering and utilizing the decision process. The goals of this workshop include:
 - (i) to examine the relationship between decisions and processes;
 - (ii) to enhance decision mining based on process data;
 - (iii) to examine decision goals, structures, and their connection with business processes, in order to find a good integration between decision modeling and process modeling;
 - (iv) 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.;
 - (v) to show best practices in separating process and decision concerns.


Important Dates

Deadline for workshop paper submission: 8 June 2014 (new deadline) 1 June 2014
Notification of acceptance (tentative): 1 July 2014
Camera-ready final submission: 23 July 2014
Workshop day: 8 September 2014

Workshop Location

The DeMiMoP’14 workshop will be held in conjunction with BPM 2014 at the campus of TU/Eindhoven, the Netherlands. The workshop will be held in MF (Metaforum) room 6.131, see map below.

Workshop Program

The DeMiMoP’14 workshop will be held on 8 September 2014. The workshop will include a keynote talk and presentations of the accepted papers.

08:00 - 09:00 Registrations
09:00 - 10:30

Opening

Introduction by the Chairs: "Business decisions and business processes"

10:30 - 11:00 Morning tea and coffee (location: Auditorium)
11:00 - 12:30

Paper session 1

  • Constructing Probabilistic Process Models based on Hidden Markov Models for Resource Allocation
    Berny Carrera and Jae-Yoon Jung
  • Business Rules: From SBVR to Information Systems
    Jandisson Soares de Jesus and Ana Cristina Vieira de Melo
  • Integration of Business Processes with Visual Decision Modeling: Presentation of the HaDEs Toolchain
    Krzysztof Kluza, Krzysztof Kaczor and Grzegorz J. Nalepa
12:30 - 13:30 Lunch (location: Auditorium)
13:30 - 15:00

Paper session 2

  • Generating business process recommendations with a population-based meta-heuristic
    Steven Mertens, Frederik Gailly and Geert Poels
  • Bidimensional Process Discovery for Mining BPMN Models
    Jochen De Weerdt, Seppe Vanden Broucke and Filip Caron
  • Designing and Evaluating an Interpretable Predictive Modeling Technique for Business Processes
    Dominic Breuker, Patrick Delfmann, Martin Matzner and Jörg Becker
15:00 - 15:30 Afternoon tea and coffee (location: Auditorium)
15:30 - 17:00

Keynote

Closing roundtable: "Discussion, standards and future plans"

19:00 - 21:00 Workshop dinner at Café Centraal
21:00 - 02:00 Process mining party at Café Hoogste Tijd

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.

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 2014 audience towards the decisions and rules community and increase the integration between different modeling perspectives.

Purpose of the workshop

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.

The purpose of the workshop, therefore, is:

  • To examine the relationship between decisions and processes, including models not only to model the process, but also to model the decisions.
  • To enhance decision mining based on process data (e.g. event logs).
  • 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.

 

Topics of interest

Topics of interest 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

Keynote

Keynote to be announced later.

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.

Each paper will be reviewed by at least three program committee members guaranteeing that only papers presenting high quality work and innovative research in areas relevant to the workshop theme will be accepted. 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 2014 conference and present the paper at the DeMiMoP’14 workshop.

Papers are submitted electronically through EasyChair:

 

Organizers

Prof. dr. Jan Vanthienen (corresponding organizer)
Department of Management Informatics
KU Leuven
Naamsestraat 69 - bus 3555, 3000 Leuven, Belgium
Tel: +32 16 326878
E-mail: jan.vanthienen@kuleuven.be
URL: http://www.econ.kuleuven.ac.be/.../vthienen/default.htm
Prof. dr. Guoqing Chen
Department of Management Science and Engineering
School of Economics and Management
Tsinghua University
258 Weilun Building, Tsinghua University, Haidian, 100084 Beijing, China
Tel: +86 (10) 62772940
E-mail: chengq@sem.tsinghua.edu.cn
URL: http://www.sem.tsinghua.edu.cn/en/chengq
Prof. dr. Bart Baesens
Department of Management Informatics
KU Leuven
Naamsestraat 69 - bus 3555, 3000 Leuven, Belgium
Tel: +32 16 326884
E-mail: bart.baesens@kuleuven.be
URL: http://www.bartbaesens.com
Prof. dr. Qiang Wei
Department of Management Science and Engineering
School of Economics and Management
Tsinghua University
443 Weilun Building, Tsinghua University, Haidian, 100084 Beijing, China
Tel: +86 (10) 62789824
E-mail: weiq@sem.tsinghua.edu.cn
URL: http://www.sem.tsinghua.edu.cn/en/weiq

Program Committee

  • Guoqing Chen, Tsinghua University, China
  • Qiang Wei, Tsinghua University, China
  • Jae-Yoon Jung, Kyung Hee University, South Korea
  • 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, Universitat Politècnica de Catalunya, Spain
  • Jochen De Weerdt, KU Leuven, Belgium
  • Seppe vanden Broucke, KU Leuven, Belgium
  • Filip Caron, KU Leuven, Belgium