-------- Original-Nachricht -------- Betreff: [computational.science] Business Process Intelligence CFP Datum: Fri, 25 May 2007 16:50:14 -0000 Von: Castellanos, Malu G malu.castellanos@hp.com Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Hi,
Could you pls post the following CFP to the distribution list?
Thanks,
--Malu Castellanos
Call for Papers Business Process Intelligence 2007 (BPI'07) http://is.tm.tue.nl/bpi07/ September 24, 2007 in conjunction with International Conference on Business Process Management (BPM'07) Brisbane, Australia
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
SUBMISSION GUIDELINES 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. 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.
PROCEEDINGS There will be informal proceedings during the workshop. The workshop chairs of the conference are currently negotiating with Springer to publish the formal workshop proceedings in a LNCS volumne (as post proceedings).
IMPORTANT DATES *Deadline for workshop paper submissions: 8 June 2007 *Notification of Acceptance: 13 July 2007 *Camera-ready papers deadline: 3 August 2007
WORKSHOP CHAIRS
* Malu Castellanos Hewlett-Packard Laboratories, USA malu.castellanos@hp.com
* Ton Weijters University of Eindhoven, The Netherlands A.J.M.M.Weijters@tm.tue.nl
* 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
PROGRAM COMMITTEE
- 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 l.aldred@qut.edu.au
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