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Vol-1052 urn:nbn:de:0074-1052-4 Copyright © 2013 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors. |
BPIC 2013
Business Process Intelligence Challenge 2013
Proceedings of the 3rd Business Process Intelligence Challenge
co-located with 9th International Business Process Intelligence Workshop (BPI 2013)
Beijing, China, August 26, 2013.
Edited by
Boudewijn van Dongen *
Barbara Weber **
Diogo Ferreira ***
Jochen De Weerdt ****
* Eindhoven University of Technology,
Department of Mathematics and Computer Science, Eindhoven, The Netherlands ** Universität Innsbruck, Institut für Informatik, Innsbruck, Austria
*** Technical University of Lisbon, Instituto Superior Técnico, Lisbon, Portugal
**** Queensland University of Technology, Information Systems School, Brisbane, Australia
The challenge was co-organized by the IEEE Task Force on Process Mining. The goal of this Task Force is to promote the research, development, education and understanding of process mining. For more information about the activities of the IEEE Task Force on Process Mining and its members see http://www.win.tue.nl/ieeetfpm/.
Table of Contents
-
Preface to Business Process Intelligence Challenge 2013
-
Summary of the BPI Challenge 2013
Boudewijn van Dongen, Barbara Weber, Diogo Ferreira, Jochen De Weerdt
Submissions
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Volvo Incident and Problem Management Behavior Analysis
Michael Arias, Eric Rojas Pontificia Universidad Católica de Chile, Chile -
Process Mining in Information Technology Incident Management: A Case Study at Volvo Belgium
Arjel Bautista, Syed Akbar, Anthony Alvarez, Tom Metzger, Marshall Reaves CKM Advisors, US -
Volvo IT Belgium VINST
Seppe vanden Broucke, Jan Vanthienen, Bart Baesens KU Leuven, Belgium and University of Southampton, UK -
Mining an Incident Management Process
Emmy Dudok, Peter van den Brand Perceptive Software, The Netherlands -
Accelerate DMAIC using Process Mining
Frank van Geffen, Rudi Niks Rabobank, The Netherlands and O&I Management Consultants, The Netherlands -
Analyzing Volvo IT Belgium's Incident and Problem Management Data Using Automated Business Process Discovery
John Hansen ChangeGroup, Denmark -
Analyzing Volvo Information with Process Mining
Jonathan Hevia, Cecilia Saint-Pierre Pontificia Universidad Católica de Chile, Chile -
Process Mining-based Understanding and Analysis of Volvo IT's Incident and Problem Management Processes
Chang Jae Kang, Young Sik Kang, Yeong Shin Lee, Seonkyu Noh, Hyeong Cheol Kim, Woo Cheol Lim, Juhee Kim, Regina Hong Myongji University, Korea -
Professional Use of Process Mining for Analyzing Business Processes
Josef Martens Capgemini, The Netherlands -
Analysis of the Volvo IT Incident and Problem Handling Processes using Process Mining and Social Network Analysis
Zbigniew Paszkiewicz, Willy Picard Poznan University of Economics, Poland -
Process Improvement Focused Analysis of VINST IT Support Logs
Shobana Radhakrishnan, Gokul Anantha SolutioNXT Inc., US (Appendix 1) -
Applied Process Mining Techniques for Incident and Problem Management
Peter Van den Spiegel, Leen Dieltjens, Liese Blevi KPMG Advisory, Belgium
2013-10-01: submitted by Boudewijn van Dongen
2013-10-01: published on CEUR-WS.org