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Subject:

Doctoral School: Algorithmic Decision Theory: MCDA, Data Mining and Rough Sets

From:

Simon French <[log in to unmask]>

Reply-To:

Simon French <[log in to unmask]>

Date:

Sun, 6 Jan 2008 11:34:15 +0000

Content-Type:

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Please Reply to:  [log in to unmask]

Cost IC0602 International Doctoral School
Algorithmic Decision Theory: MCDA, Data Mining and Rough Sets
Session 2008 : April 11-16, 2008, Troina, Italy
 
 
Organizing and scientific committee: S. Greco (University of Catania, 
Italy), B. Matarazzo (University of Catania, Italy), M. Pirlot (FPMs, 
Mons, Belgium), R. Slowinski  (Poznan University of Technology, Poznan), 
A. Tsoukiàs (CNRS-LAMSADE, Paris). 
 
This programme is an activity of the COST Action IC0602 “Algorithmic 
Decision Theory” (www.algodec.org). It is also supported by the Faculty of 
Economics of University of Catania and the Department of Economics and 
Quantitative Methods of University of Catania. It is the second doctoral 
school organised by the COST Action IC0602 (the first took place in Han 
sur Lesse (BE), in September 2007; see more in www.algodec.org). 
 
Goals: 
Promote recent research results obtained in the field of Multiple Criteria 
Decision Analysis (MCDA), Data Mining and Rough Set Reasoning about Data,
Train students in applications of new tools based on the above results,
Develop contacts and collaboration among young researchers in this field.
 
Target participants:  doctoral students engaged in decision theory or 
decision support, understood in a broad sense (i.e. MCDA, Data Mining and 
Rough Set Analysis, Multiple Objective Optimisation, Decision under Risk 
and Uncertainty, Algorithmic Decision Theory, Preference Elicitation and 
Modelling, etc.)
 
Organisation: during their stay, up to 25 selected doctoral students will 
receive intensive training in three selected topics dispensed by three 
prominent scholars; the participants will be given an opportunity to 
present their own work and receive a feedback. Additional senior 
researchers will stay for one or two days and give a talk. All 
presentations and discussions will be in English. 
 
Practical issues: the participants will be accomodated in the congress 
centre "La Cittadella dell'Oasi" located in Troina, a small city 70 
kilometers far from Catania (Eastern Sicily). The working sessions will 
take place in the Centre, as well as the meals. The Centre can be reached 
by bus from Catania. A special bus will be organized for the participants. 
 
Sketch of the programme: a typical day will consist of two lectures of two 
hours on the following topics (provisional titles):
Preference Elicitation for Multiple Criteria Decision Analysis, by V. 
Mousseau (LAMSADE, Paris)
Rough Set Approach for Multiple Criteria Decision Analysis, by R. 
Slowinski (Poznan University of Technology, Poznan)
Data Mining, by Jerzy Stefanowski (Poznan University of Technology, 
Poznan). 
 
About three hours will be devoted to presentation and discussion of their 
research by the participants. Three senior researchers will visit the 
School and deliver short lectures. 
 
Fee: the School is supported by the COST Action IC0602 “Algorithmic 
Decision Theory”. The fee for students is 150 € for the entire stay (full 
pension). Travel expenses are not covered by the organizers.  
 
Application: doctoral students, especially those in early stages of their 
research, are invited to apply for participation to the School by sending 
a short CV that mentions their background and their research interests 
and/or achievements. Applications must be sent before 
February 20, 2007
to Salvatore Greco ([log in to unmask]). The scientific committee will 
select the participants on the basis of their research interests and 
record. Priority will be given to students from countries involved in the 
COST Action. Students who already participated to the School organised in 
September 2007 can apply again although priority will be given to new 
applications. Applicants will be informed of the decision of the committee 
by March 10, 2007. 
 
For further information send an e-mail to [log in to unmask]  
For further details look at www.algodec.org. 
 _______________________________________________

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