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ECML/PKDD 05: Call for Participation

From: Alípio Mário Jorge <amjorge@fep.up.pt>
Date: Fri, 29 Jul 2005 09:52:14 +0100
Message-ID: <964A8C80C78D824E8A080A0FDD6612A909CEB6@cheetah.fep.up.pt>
To: <www-rdf-logic@w3.org>

Apologies for multiple posting






       - European Conference on Machine Learning

       - European Conference on Principles and Practice of Knowledge Discovery in Databases


Porto, Portugal, October 3-7, 2005





The 16th European Conference on Machine Learning (ECML) and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) will be co-located in Porto, Portugal, October 3-7, 2005. The combined event will comprise 6 invited speakers, 75 oral presentations of contributed papers, 67 poster papers, 11 workshops, 8 tutorials and a Discovery Challenge.


 *** EARLY REGISTRATION DEADLINE is: 20th August 2005

 *** Accommodation should be booked as soon as possible, since Porto will host other conferences in October.




   Michael Berthold, University of Konstanz, Germany: 

                 Data Analysis in the Life Sciences,- Sparking Ideas - 

   Claire Cardie, Cornell University, USA: 

                 Machine Learning for Natural Language Processing (and Vice Versa?) 

   Luc De Raedt, University of Freiburg, Germany: 

                 Statistical Relational Learning: an Inductive Logic Programming Perspective 

   Eamonn Keogh, University of California - Riverside, USA: 

                 Recent advances in mining time series data 

   Ronny Kohavi, Microsoft, USA:Focus the Mining Beacon: 

                 Lessons and Challenges from the World of E-Commerce 

   Yossi Matias, Tel Aviv University & HyperRoll, Israel & USA : 

                 Data streams and data synopses for MASSIVE data sets 




   See web page for a complete list (http://ecmlpkdd05.liacc.up.pt/detailedProgram.html).




   W1 - Mining Graphs, Trees and Sequences (MGTS'05)

   W2 - Sub-symbolic paradigms for learning in structured domains

   W3 - Knowledge Discovery and Ontologies (KDO-2005)

   W4 - Modelling and Mining Internet Usage

   W5 - Knowledge Discovery in Inductive Databases (KDID'05)

   W6 - Knowledge Discovery from Data Streams

   W7 - Mining Spatio-temporal Data

   W8 - Cooperative Multiagent Learning

   W9 - Reinforcement Learning in non-stationary environments 

   W10 - Discovery Challenge

   W11 - Data Mining for Business




   T1 - Web Mining for Web Personalization

      by Magdalini Eirinaki and Michalis Vazirgiannis

   T2 - Ontology Learning from Text

      by Paul Buitelaar, Philipp Cimiano, Marko Grobelnik and Michael Sintek

   T3 - Bioinspired Machine Learning Techniques

      by André Carlos Ponce de Leon Ferreira de Carvalho

   T4 - Mining the Volatile Web

      by Myra Spiliopoulou and Yannis Theodoridis

   T5 - Spectral clustering

      by Chris Ding 

   T6 - Learning Automata as a Basis for Multi-agent Reinforcement Learning

      by Ann Nowe, Katja Verbeeck and Karl Tuyls 

   T7 - Probabilistic Inductive Logic Programming

      by Luc De Raedt and Kristian Kersting 

   T8 - A Practical Time-Series Tutorial with MATLAB

      by Michalis Vlachos 




General Chair

   Pavel Brazdil,  LIACC/FEP, Portugal 


Program Chairs


     Rui Camacho,  LIACC/FEUP, Portugal 

     João Gama,  LIACC/FEP, Portugal 


     Alípio Jorge,  LIACC/FEP, Portugal 

     Luís Torgo, LIACC/FEP, Portugal



Workshops Chair

   Floriana Esposito,  University of Bari, Italy


Tutorials Chair

   Dunja Mladenic,  Josef Stefan Institute, Slovenia

Received on Friday, 29 July 2005 09:00:06 UTC

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