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ECML PKDD´08 - Antwerp   

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

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

244 views, 2:54:40  
Knowledge Discovery from Evolving DataKnowledge Discovery from Evolving Data
Myra Spiliopoulou, Frank Hoppner, Mirko Böttcher Myra Spiliopoulou, Frank Hoppner, Mirko Böttcher
comments1 comment 
votesvotesvotesvotesvotes [syn]  3223 views, 2:23:20  
Data Mining for Anomaly DetectionData Mining for Anomaly Detection
Aleksandar Lazarevic, Jaideep Srivastava, et al. Aleksandar Lazarevic, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee, Varun Chandola
comments2 comments 

Opening and Awards

Invited Talks

Support Vector Machines

149 views, 17:33  
Cascade 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
135 views, 15:15  
Sequence 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 262 views, 20:11  
Improving Maximum Margin Matrix FactorizationImproving Maximum Margin Matrix Factorization
Alexandros Karatzoglou, Markus Weimer, Alexander J. Smola Alexandros Karatzoglou, Markus Weimer, Alexander J. Smola

Discovery

46 views, 20:19  
Exceptional Model MiningExceptional Model Mining
Dennis Leman, Ad Feelders, Arno Knobbe Dennis Leman, Ad Feelders, Arno Knobbe
69 views, 17:49  
Tight 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

Classification 2

Learning and Mining Text and NLP

[syn]  2032 views, 12:07  
A 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

Clustering 2

[syn]  173 views, 17:58  
Large-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]  353 views, 20:15  
Clustering Distributed Sensor Data StreamsClustering Distributed Sensor Data Streams
Pedro Pereira Rodrigues, Joao Gama, Luis Lopes Pedro Pereira Rodrigues, Joao Gama, Luis Lopes
votesvotesvotesvotesvotes [syn]  854 views, 16:01  
Data 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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