European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Dubrovnik 2003

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Dubrovnik 2003

21 Lectures · Sep 21, 2003

About

The 14th European Conference on Machine Learning (ECML) and the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were co-located in Cavtat, a small tourist town near Dubrovnik, Croatia, on September 22-26, 2003. Co-ordination of the two conferences provided ample opportunities for cross-fertilization between the two areas, and followed the success of jointly organized ECML/PKDD in 2001 and 2002.

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Invited Talk

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01:02:10

Taking causality seriously: Propensity score methodology applied to estimate the...

Donald Rubin

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From Knowledge-based Systems to Skill-based Systems: Sailing as a Machine Learni...

Pieter Adriaans

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Invited Talk
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Next Generation Data Mining Tools: Power laws and self-similarity for graphs, st...

Christos Faloutsos

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Two-eyed algorithms and problems - Best ECML paper

Leo Breiman

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26:35

A Decomposition Of Classes Via Clustering To Explain And Improve Naive Bayes

Irina Rish

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Color Image Segmentation: Kernel Do the Feature Space

Jianguo Lee

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Classification Approach Towards Ranking and Sorting

Shyamsundar Rajaram

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Logistic Model Trees - Best Student Paper

Niels Landwehr

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Optimizing Local Probability Models for Statistical Parsing - Best Student Paper...

Kristina Toutanova

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32:14

Text Categorisation Using Document Profiling

Bernhard Pfahringer

Feb 25, 2007

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25:33

Using Belief Networks and Fisher Kernels for Structured Document Classification

Ludovic Denoyer

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28:31

Improving SVM Text Classification Performance through Threshold Adjustment

James G. Shanahan

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Application of Inductive Logic Programming to Structure-Based Drug Design

David P. Enot

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Efficient Statistical Pruning of Association Rules

Alan Ableson

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Minimal k-Free Representations of Frequent Sets

Toon Calders

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Majority Classification by means of Association Rules

Elena Baralis

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Explaining Text Clustering Results using Semantic Structures

Andreas Hotho

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Knowledge Discovery

Marko Grobelnik

Feb 25, 2007

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Best paper awards announcement

Dunja Mladenić

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Topic Learning From Few Examples

Shivakumar Vaithyanathan

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A Simple Algorithm for Topic Identification in 0-1 Data

Jouni K Seppanen

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Lecture