3th International Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’15)

Held in conjunction with BPM 2015, Innsbruck, Austria, August 31 - September 3, 2015

The DeMiMoP’15 is the 3th 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.

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Important Dates

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Workshop Location

The DeMiMoP’15 workshop will be held in conjunction with BPM 2015 at the campus of the University of Innsbruck, School of Management, Karl-Rahner-Platz, 6020 Innsbruck, Austria.

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Workshop Program

The DeMiMoP’15 workshop will be held on 31 August 2015. The workshop will include a keynote talk and presentations of the accepted papers.

08:00 - 09:00       Registration

09:00 - 09:10       Opening

09:10 - 10:30       Workshop session 1:

• Introduction by the Chairs: "Mining and modeling of business decisions and processes"
  Jan Vanthienen
• Integrated Process and Decision Modeling for Data-Driven Processes
  Han van der Aa, Henrik Leopold, Kimon Batoulis, Mathias Weske and Hajo A. Reijers

10:30 - 11:00       Coffee break

11:00 - 12:30       Workshop session 2:

• Enabling Dynamic Decision Making in Business Processes with DMN
  Kimon Batoulis, Anne Baumgrass, Nico Herzberg and Mathias Weske
• Gamification of Declarative Process Models for Learning and Model Verification
  Johannes De Smedt, Jochen De Weerdt, Estefania Serral and Jan Vanthienen

12:30 - 14:00       Lunch break

14:00 - 15:30       Workshop session 3:

• Deriving Decision Models from Process Models by Enhanced Decision Mining
  Ekaterina Bazhenova and Mathias Weske
• A Framework for Recommending Resource Allocation based on Process Mining
  Michael Arias, Eric Rojas, Jorge Munoz-Gama and Marcos Sepúlveda
• Context and Planning for Dynamic Adaptation in PAIS
  Vanessa Nunes, Flavia Santoro, Claudia Werner and Célia Ghedini

15:30 - 16:00       Coffee break

16:00 - 17:00       Keynote (to be announced)

17:00 - 17:30       Closing roundtable: "Discussion, standards and future plans"

18:00 - 20:00       Workshop dinner

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Description

Business Process Management (BPM) and its life cycle activities – design, modeling, execution, monitoring and optimization of business processes – have 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. Typical decisions are: creditworthiness of the customer in a financial process, claim acceptance in an insurance process, eligibility decisions in social security, etc. 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). 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 2015 audience towards the decisions and rules community and increase the integration between different modeling perspectives. In this respect the approval of the new OMG DMN (Decision Model and Notation) standard enables this cooperation between process and decision modeling.

This is the third edition of the workshop. For the second edition, see http://www.econ.kuleuven.be/demimop14

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:

• Decision rules and processes
• Decision mining
• Decision models and structures
• Data mining, rule mining, process mining
• Goal driven processes
• Declarative process models
• Process metrics
• Process maintenance and flexibility
• Human-centered and flexible processes
• Case studies

Keynote

Keynote to be announced later.

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Submission

Papers should be formatted according to Springer’s LNCS formatting guidelines. Submissions must be in English and not exceed 12 pages of length. The title page must contain a short abstract clarifying the relation of the paper with the topics given above. The paper must clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Student papers must be clearly marked as such. Concerning length and formatting, student papers must follow the same guidelines as research papers.

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. Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this conference. Empirical papers should where possible build on novel datasets previously unpublished. Research on existing datasets must clearly explain the novelty of the applied analysis. All accepted papers will appear in the workshop proceedings published by Springer. There will be a single volume dedicated to the proceedings of all BPM workshops.

Accepted papers imply that at least one of the authors will register for the BPM 2015 conference and present the paper at the DeMiMoP’15 workshop.

Papers are submitted electronically through EasyChair:

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Organizers

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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
• Krzysztof Kluza, AGH University of Science and Technology, Krakow, Poland
• 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
• Pericles Loucopoulos, Loughborough University, England
• Josep Carmona, Universitat Politècnica de Catalunya, Spain
• Jochen De Weerdt, KU Leuven, Belgium
• Seppe vanden Broucke, KU Leuven, Belgium
• Johannes De Smedt, KU Leuven, Belgium

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