Event: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008

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ECML PKDD 2008 - Antwerp   

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) will be located in Antwerp, Belgium, from September 15th to 19th, 2008. This event builds upon a very successful series of 18 ECML and 11 PKDD conferences, which have been jointly organized for the past seven years. It has become the major European scientific event in these fields and in 2008 it will comprise presentations of contributed papers and invited speakers, a wide program of workshops and tutorials, a discovery challenge, a demo track and an industrial track.

Tutorials

297 views, 2:54:40  
flagKnowledge Discovery from Evolving DataKnowledge Discovery from Evolving Data
Myra Spiliopoulou, Frank Hoppner, Mirko Böttcher Myra Spiliopoulou, Frank Hoppner, Mirko Böttcher
comments1 comment 
votesvotesvotesvotesvotes [syn]  4324 views, 2:23:21  
flagData Mining for Anomaly DetectionData Mining for Anomaly Detection
Aleksandar Lazarevic, Jaideep Srivastava, et al. Aleksandar Lazarevic, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee, Varun Chandola
comments3 comments 

Opening and Awards

Invited Talks

Support Vector Machines

190 views, 17:33  
flagCascade RSVM in Peer-to-Peer NetworksCascade RSVM in Peer-to-Peer Networks
Vivekanand Gopalkrishnan, Hock Hee Ang, et al. Vivekanand Gopalkrishnan, Hock Hee Ang, Steven C. H. Hoi, Wee Keong Ng
195 views, 15:15  
flagSequence Labelling SVMs Trained in One PassSequence Labelling SVMs Trained in One Pass
Antoine Bordes, Nicolas Usunier, Léon Bottou Antoine Bordes, Nicolas Usunier, Léon Bottou

Matrix Factorization

votesvotesvotesvotesvotes 392 views, 20:11  
flagImproving Maximum Margin Matrix FactorizationImproving Maximum Margin Matrix Factorization
Alexandros Karatzoglou, Markus Weimer, Alexander J. Smola Alexandros Karatzoglou, Markus Weimer, Alexander J. Smola

Discovery

64 views, 20:19  
flagExceptional Model MiningExceptional Model Mining
Dennis Leman, Ad Feelders, Arno Knobbe Dennis Leman, Ad Feelders, Arno Knobbe
114 views, 17:49  
flagTight Optimistic Estimates for Fast Subgroup DiscoveryTight Optimistic Estimates for Fast Subgroup Discovery
Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel

Industrial Session

Industrial Session 2

Classification 2

Learning and Mining Text and NLP

[syn]  2748 views, 12:07  
flagA Genetic Algorithm for Text Classification Rule InductionA Genetic Algorithm for Text Classification Rule Induction
Adriana Pietramala, Veronica L. Policicchio, et al. Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu
comments1 comment 

Clustering 2

[syn]  223 views, 17:58  
flagLarge-Scale Clustering through Functional EmbeddingLarge-Scale Clustering through Functional Embedding
Frederic Ratle, Jason Weston, Mathew L. Miller Frederic Ratle, Jason Weston, Mathew L. Miller
votesvotesvotesvotesvotes [syn]  578 views, 20:15  
flagClustering Distributed Sensor Data StreamsClustering Distributed Sensor Data Streams
Pedro Pereira Rodrigues, João Gama, Luis Lopes Pedro Pereira Rodrigues, João Gama, Luis Lopes
votesvotesvotesvotesvotes [syn]  1136 views, 16:01  
flagData Streaming with Affinity PropagationData Streaming with Affinity Propagation
Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

Multi Relational

Reviews and comments:

Comment1 Sonal Gupta, October 15, 2008 at 8:12 p.m.:

I hope you could have recorded all the talks rather than some sessions.


Comment2 Katharina Morik, October 30, 2008 at 3 p.m.:

A big thank for the videos goes to to Josef Stefan Institute! However, everything which is good can become better...

The videos should show the transparencies! Sometimes, the speaker is just referring to the slide, where all the interesting information is located -- and in the video you don't see it!
Particularly in Bart's introduction, all the figures about participation etc. are on the slides, which are not shown.
But also in scientific talks, this happens quite often.

The invited talk of Yoav Freund was not recorded. However, he himself has contributed his lecture in the form of the slides and his voice. This very exciting talk should be included in the collection!

Katharina

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