The LOIS workshop "Process Mining meets Data Mining" (PMPM’09) will
take place on Wednesday October 28, 2009 at the Technische Universiteit
Eindhoven (TU/e).

The program:
 
09.00 Welcome & Coffee
09.30 Prof.dr.ir. Wil van der Aalst, Eindhoven University of Technology
      Process Mining = Process Analysis + Data Mining
10.30 Coffee break
11.00 Prof. Diogo Ferreira, Technical University of Lisbon
      Expectation-Maximization Techniques for Process Mining
12.00 Prof. Barry Smyth BSc PhD, University College Dublin
      Towards Web Search 3.0
13.00 Lunch
14.00 Prof.dr. Luc de Raedt, Katholieke Universiteit Leuven
      Constraint Programming for Data Mining
15.00 Prof. Peter Flach, University of Bristol
      Recent Developments in Data Mining Research
15.30 Coffee & tea break
16.00 Marc Kerremans, Vision Waves (before Gartner)
      Data mining and process mining as constituents of eXtended Performance Management
17.00 End

IMPORTANT:
 
The workshop is free of charge and lunch and coffee are included. However, to
estimate the number of participants (e.g. for the lunch), people need
to register via Ine van der Ligt (wsinfsys@remove-this.tue.nl).
 
Location:
 
The workshop will take place in De Zwarte Doos (www.dezwartedoos.nl)
at the TU/e campus (http://w3.tue.nl/en/the_university/route_and_map/).
This location is close to the train station (10-15 minutes).
 
Motivation:
 
Data mining is the process of extracting hidden patterns from data. The data mining community is concerned with tasks such as classification, clustering, regression, association rule learning, etc. There are many successful applications of data mining and it has become one of the core disciplines in computer science.
 
Within the business process intelligence community, there is a large and lively sub-community, focusing on process mining (cf. www.processmining.org). Process mining targets the discovery of information based on event logs. For instance, the automatic discovery of process models from event logs. Examples of event logs include process data generated by administrative services, health care data about patient handling, audit trails of all kinds of devices, and logs of workflow tools. Many machine learning and data mining techniques have successfully been applied in this field. Nevertheless, the process mining community and the mainstream data mining community have remained relatively disconnected. This LOIS workshop aims to bring these two communities together.
 
To achieve this, world-renowned experts from the field of data and process mining will come to Eindhoven. Thanks to the support of LOIS (Logistics, Operations and Information Systems) we are able to invite top scholars and offer an interesting program free of charge.
 
As one of TU/e’s eight strategic research areas, LOIS addresses the challenges of the processes needed to deliver products and services meeting complex requirements in environments that are highly dynamic, interconnected and competitive. The focus is on operational processes in manufacturing, logistics and services. The challenge is to gain a deeper understanding of these processes, by using data and process mining techniques, for example, and to develop modeling approaches that can be successfully applied to practical operations. The aim of these models is to allow the reliability and predictability of the underlying processes to be improved and optimized. For more information on LOIS, see http://w3.ieis.tue.nl/nl/onderwijs/portals/actuele_informatie/onderzoeksgebied_lois/.
 
Co-located events:
 
The LOIS PMPM’09 workshop will be preceded by the SIKS/LOIS course on SIKS/LOIS Course on Process Mining and Data Mining (PMDM) Eindhoven, October 26-27, 2009. See http://www.siks.nl/PM-DM.txt for details.
 
The workshop will be directly followed by the 21st Benelux Conference on Artificial Intelligence (BNAIC 2009) also taking place in Eindhoven. See http://wwwis.win.tue.nl/bnaic2009/ for more information.
 
Academics and practitioners are invited to attend both co-located events.
 
We hope to see you all in Eindhoven!
 
Wil van der Aalst, Paul de Bra, Toon Calders, Boudewijn van Dongen, Mykola Pechenizkiy, Ton Weijters.