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Apologies for multiple posting
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**** LAST CALL FOR PARTICIPATION ****
* CHANGED: Late registration deadline is now 3 September *
ECML/PKDD-2005
- European Conference on Machine Learning
- European Conference on Principles and Practice of Knowledge Discovery
in Databases
Porto, Portugal, October 3-7, 2005
http://ecmlpkdd05.liacc.up.pt/
mailto:[EMAIL PROTECTED]
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: 3 September 2005
*** Accommodation should be booked as soon as possible, since Porto will host other conferences in October.
--- Invited Speakers ---
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
--- Accepted papers ---
See web page for a complete list
(http://ecmlpkdd05.liacc.up.pt/detailedProgram.html).
--- Workshops ---
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
--- Tutorials ---
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
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General Chair
Pavel Brazdil, LIACC/FEP, Portugal
Program Chairs
ECML
Rui Camacho, LIACC/FEUP, Portugal
João Gama, LIACC/FEP, Portugal
PKDD
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
