[AISWorld] CFP DeMiMoP 2014

[Jan Vanthienen]

Call for papers
2nd International Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’14)
Held in conjunction with BPM 2014 Haifa, Israel, September 7th - 11th 2014
http://www.econ.kuleuven.be/demimop14

The DeMiMoP’14 is the 2nd workshop aiming at discovering and modeling decisions for business processes. 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: 	1 June 2014
  Notification of acceptance (tentative): 	1 July 2014
  Camera-ready final submission: 	23 July 2014
  Workshop day: 	8 September 2014

The DeMiMoP’14 workshop will be held on 8 September 2014. The workshop will start with a keynote talk followed by presentations of the accepted papers.
Full program to be announced later.

Description

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.

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

Organizers
   Jan Vanthienen (corresponding organizer), Department of Management Informatics, KU Leuven (Belgium)
   Guoqing Chen (Tsinghua University, China)
   Bart Baesens (KU Leuven)
   Qiang Wei (Tsinghua University)

Program Committee
    Josep Carmona, Universitat Politècnica de Catalunya, Spain
    Filip Caron, KU Leuven, Belgium
    Jochen De Weerdt, KU Leuven, Belgium
    Robert Golan, DBmind technologies, United States
    Xunhua Guo, Tsinhua University, China
    Markus Helfert, Dublin City University, Ireland
    Jae-Yoon Jung, Kyung Hee University, South Korea
    Dimitris Karagiannis, Universität Wien, Austria
    Pericles Loucopoulos, Loughborough University, England
    Leszek Maciaszek, Wroclaw University of Economics, Poland
    Hajo A. Reijers, Eindhoven University of Technology, The Netherlands
    Seppe vanden Broucke, KU Leuven, Belgium

More information:
http://www.econ.kuleuven.be/demimop14