5. DS 2002:
Lübeck, Germany
Invited Talks
Gerhard Widmer:
In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project.
13-21
Ian H. Witten:
Learning Structure from Sequences, with Applications in a Digital Library.
33
Regular Papers
Application of Discovery to Natural Science
Knowledge Discovery from Unstructured and Semi-structured Data
Meta-learning and Analysis of Machine Learning Algorithms
Kai Ming Ting:
A Study on the Effect of Class Distribution Using Cost-Sensitive Learning.
98-112
Melanie Hilario:
Model Complexity and Algorithm Selection in Classification.
113-126
Combining Machine Learning Algorithms
Neural Networks and Statistical Methods
David Danks:
Learning the Causal Structure of Overlapping Variable Sets.
178-191
Martin Holena:
Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks.
192-205
New Approaches to Knowledge Discovery
Poster Papers
Applications of Knowledge Discovery to Natural Science
Daniele Masotti:
DNA-Tract Curvature Profile Reconstruction: A Fragment Flipping Algorithm.
275-282
Asanobu Kitamoto:
Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal Clustering.
283-290
Knowledge Discovery from Texts
Applications of Knowledge Discovery to Social Science
Olivier Lartillot:
Generalized Musical Pattern Discovery by Analogy from Local Viewpoints.
382-389
Machine Learning Approaches
Zhiwei Fu:
Using Genetic Algorithms-Based Approach for Better Decision Trees: A Computational Study.
390-397
Frank Höppner:
Handling Feature Ambiguity in Knowledge Discovery from Time Series.
398-405
New Approaches to Knowledge Discovery
data released under the ODC-BY 1.0 license
