7. Industrial Conference on Data Mining 2007: Leipzig, Germany

Petra Perner (Ed.): Advances in Data Mining. Theoretical Aspects and Applications, 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings. Lecture Notes in Computer Science 4597 Springer 2007, ISBN 978-3-540-73434-5 BibTeX

Invited Talk

Michael M. Richter:
Case Based Reasoning and the Search for Knowledge. 1-14
Electronic Edition (link) BibTeX

Aspects of Classification and Prediction

Ilia Nouretdinov:
Subsets More Representative Than Random Ones. 15-20
Electronic Edition (link) BibTeX
Petra Perner:
Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme. 21-33
Electronic Edition (link) BibTeX
Jürgen Beringer, Eyke Hüllermeier:
An Efficient Algorithm for Instance-Based Learning on Data Streams. 34-48
Electronic Edition (link) BibTeX
Carlotta Orsenigo, Carlo Vercellis:
Softening the Margin in Discrete SVM. 49-62
Electronic Edition (link) BibTeX
Hamidreza Rashidy Kanan, Karim Faez, Sayyed Mostafa Taheri:
Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System. 63-76
Electronic Edition (link) BibTeX
Chetan Gupta, Robert L. Grossman:
Outlier Detection with Streaming Dyadic Decomposition. 77-91
Electronic Edition (link) BibTeX

Clustering

António Dourado, Edgar Ferreira, Paulo Barbeiro:
VISRED -Numerical Data Mining with Linear and Nonlinear Techniques. 92-106
Electronic Edition (link) BibTeX
Thierry Urruty, Chabane Djeraba, Dan A. Simovici:
Clustering by Random Projections. 107-119
Electronic Edition (link) BibTeX
Lamine M. Aouad, Nhien-An Le-Khac, M. Tahar Kechadi:
Lightweight Clustering Technique for Distributed Data Mining Applications. 120-134
Electronic Edition (link) BibTeX

Web Mining

Petr Berka, Martin Labský:
Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach. 135-147
Electronic Edition (link) BibTeX
K. Lakshmi, Saswati Mukherjee:
Improved IR in Cohesion Model for Link Detection System. 148-162
Electronic Edition (link) BibTeX
Richárd Farkas, György Szarvas, Róbert Ormándi:
Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web. 163-172
Electronic Edition (link) BibTeX

Data Mining in Medicine

Olga Vorobieva, Alexander Rumyantsev, Rainer Schmidt:
ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients. 173-183
Electronic Edition (link) BibTeX
Isabelle Bichindaritz:
The Role of Prototypical Cases in Biomedical Case-Based Reasoning. 184-198
Electronic Edition (link) BibTeX

Applications of Data Mining

Angel Fernando Kuri Morales, Fátima Rodriguez:
A Search Space Reduction Methodology for Large Databases: A Case Study. 199-213
Electronic Edition (link) BibTeX
Cristofer Englund, Antanas Verikas:
Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press. 214-227
Electronic Edition (link) BibTeX
Alexis Bondu, Vincent Lemaire, Barbara Poulain:
Active Learning Strategies: A Case Study for Detection of Emotions in Speech. 228-241
Electronic Edition (link) BibTeX
María Lourdes Borrajo Diz, Juan M. Corchado, E. S. Corchado, María A. Pellicer:
Neural Business Control System. 242-254
Electronic Edition (link) BibTeX
Mirko Böttcher, Martin Spott, Detlef D. Nauck:
A Framework for Discovering and Analyzing Changing Customer Segments. 255-268
Electronic Edition (link) BibTeX
Jérôme Kunegis, Stephan Schmidt:
Collaborative Filtering Using Electrical Resistance Network Models. 269-282
Electronic Edition (link) BibTeX
Shaul Ben Michael, Ronen Feldman:
Visual Query and Exploration System for Temporal Relational Database. 283-295
Electronic Edition (link) BibTeX
Paul M. de Zeeuw, Elena Ranguelova, Eric J. Pauwels:
Towards an Online Image-Based Tree Taxonomy. 296-306
Electronic Edition (link) BibTeX
Ruy Ramos, Rui Camacho:
Distributed Generative Data Mining. 307-317
Electronic Edition (link) BibTeX

Time Series and Frequent Pattern Mining

Josenildo Costa da Silva, Matthias Klusch:
Privacy-Preserving Discovery of Frequent Patterns in Time Series. 318-328
Electronic Edition (link) BibTeX
M. P. Hanias, D. A. Karras:
Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits. 329-338
Electronic Edition (link) BibTeX

Association Minnig

Martin Ralbovský, Tomás Kuchar:
Using Disjunctions in Association Mining. 339-351
Electronic Edition (link) BibTeX