Business Processing Intelligence (BPI)

Import dates

New (08-08-2007): Workshop Program

Objectives

Business Process Intelligence (BPI) is an area that is quickly gaining interest and importance in the industry. BPI refers to the application of various measurement and analysis techniques in the area of business process management. The goal is to provide a better understanding and a more appropriate support of a company's processes at design time and the way they are handled at runtime. In practice, BPI is embodied in tools for managing process execution quality by offering several features such as analysis, prediction, monitoring, control, and optimization.

The goal of this workshop is to bring together practitioners and researchers from different communities such as business process management, software engineering, artificial intelligence, statistics, and data analysis who share an interest in the analysis of business processes and process-aware information systems. The workshop aims at discussing the current state of ongoing research and sharing practical experiences. Therefore, we not only welcome scientific papers but also contributions on industrial experiences. Submitted papers will be evaluated on the basis of significance, originality and technical quality. Papers should clearly establish the research contribution and the relation to previous research.

The list of topics that are relevant to the BPI workshop includes the following, but is not limited to: 

Analysis Techniques at design time and/or runtime:
- Mining and aggregation related to business processes
- Measurement related to business process models and business process modeling
- Business process visualization
- Retrieval related to business process management
- Similarity measurement related to processes and cases
- Integration of process models
- Reasoning related to business process
- Machine-learning and business processes

Application areas of such analysis techniques in:
- Emergent workflows
- Process discovery
- Data warehousing 
- Static and dynamic optimization
- Self-management
- Exception handling
- Monitoring and performance measurement for business processes
- Resource Allocation in business processes
- Prediction
- Dynamic composition of business processes

Research papers covering these and other sub-areas are highly sought for this workshop. In addition, since BPI is an area that is still immature and controversial, position papers are welcome. 

Proceedings

The proceedings of the workshops will be published as an LNCS volume. However, this volume will not be available during the workshop, but only a few months after the event. Accordingly, we plan to distribute to the participants booklets and possibly also a CD ROM containing the papers presented at the workshops. 

Paper submission format

Papers should follow the LNCS format (see http://www.springer.de/comp/lncs/authors.html for details). The first page must contain a short abstract, the topic covered, preferably taken from the list of areas above, and an indication of the submission category (regular paper/position paper/industry paper). Maximum length of a paper is 12 pages (and 6 pages for a position paper). Papers should be submitted to the review web site http://qe-informatik.uibk.ac.at/bpi as a PDF file. All papers will be reviewed by three PC members.

Monday, 24 September 2007

08:45              Welcome

Session 1: Experiences with Business Process Intelligence

09:00              Invited Talk (to be announced)

10:15              Moisés Lima Pérez, Charles Møller
The Predictive Aspect of Business Process Intelligence: Lessons learned on bridging IT and business (position paper)

10:30              Coffee Break

Session 2: Process Mining

11:00              Ana Karla Alves de Medeiros, Antonella Guzzo, Gianluigi Greco, Wil van der Aalst, Ton Weijters, Boudewijn van Dongen, Domenico Saccà
Process Mining Based on Clustering: A Quest for Precision

11:30             Jon Espen Ingvaldsen, Jon Atle Gulla
Preprocessing support for large scale process mining of SAP transactions

12:00             Stijn Goedertier, David Martens, Bart Baesens, Raf Haesen, Jan Vanthienen
Process Mining as First-Order Classification Learning on Logs with Negative Events

12:30              Light Lunch

Session 3: Simulation & Architectures

01:15              Mati Golani, Avi Gal, Eran Toch
Modeling Alternatives in Exception Executions

01:45              Moe Wynn, Marlon Dumas, Colin Fidge, Arthur ter Hofstede, Wil van der Aalst
Business Process Simulation for Operational Decision Support

02:15             Jose A. Rodrigues Nt., Pedro C. L. Monteiro Jr., Jonice de O. Sampaio, Jano M. Souza
Autonomic Business Processes Scalable Architecture (position paper)

02:45             Coffee Break

Session 4: Evaluation and Expectations

03:15              Anne Rozinat, Ana Karla Alves de Medeiros, Christian Guenther, Ton Weijters, Wil van der Aalst
The Need for a Process Mining Evaluation Framework in Research and Practice (position paper)

03:30             Roundtable on the Evaluation of Process Mining Algorithm 
What Business Process Intelligence should provide to Business Process Management

04:45             Closing

05:00             Welcome Reception

Program committee

Program Chairs

* Malu Castellanos
Hewlett-Packard Laboratories, USA
malu.castellanos@hp.com

* Jan Mendling
Vienna University of Economics and Business Admin., Austria
jan.mendling@wu-wien.ac.at

* Barbara Weber
University of Innsbruck, Austria
Barbara.Weber@uibk.ac.at

Members

- Wil Van der Aalst, Technical University of Eindhoven, The Netherlands
- Boualem Benatallah, University of New South Wales, Australia
- Gerardo Canfora, University of Sannio, Italy
- Fabio Casati, University of Trento, Italy
- Jonhatan E. Cook, New Mexico State University, USA
- Umesh Dayal, HP Labs, USA
- Peter Dadam, University of Ulm, Germany
- Marlon Dumas, Queensland University of Technology, Australia
- Gianluigi Greco, University of Calabria, Italy
- Dimitrios Georgakopoulos, Telcordia Technologies, Austin, USA
- Mati Golani, Technion, Israel
- Jon Atle Gulla, Norwegian University of Science and Technology, Norway
- Joachim Herbst, DaimlerChrysler Research and Technology, Germany
- Ramesh Jain, Georgia Tech, USA
- Jun-Jang Jeng, IBM Research, USA
- Ana Karla de Medeiros, Technical University of Eindhoven, The Netherlands
- Sandro Morasca, Università dell’Insubria, Como, Italy
- Michael zur Muehlen, Stevens Institute of Technology, USA
- Cesare Pautasso, ETH Zurich, Switzerland 
- Shlomit S. Pinter, IBM Haifa Research Lab, Israel
- Manfred Reichert, University of Twente, The Netherlands
- Michael Rosemann, Queensland University of Technology, Australia
- Domenico Sacca, Università della Calabria, Italy
- Pnina Soffer, Haifa University, Israel
- Hans Weigand, Infolab, Tilburg University, The Netherlands 
- Mathias Weske, Hasso Plattner Institute at University of Potsdam, Germany


PUBLICATION AND COORDINATION CHAIRS
Lachlan Aldred (aldred@qut.edu.au)

Organizers and affiliations