Advances in Data Mining. Theoretical Aspects and Applications: 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007. Proceedings

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ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia ICDM 2007 was the seventh event in the Industrial Conference on Data Mining series and was held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 96 submissions from 24 countries (see Fig. 1). After the peer-review process, we accepted 25 high-quality papers for oral presentation that are included in this proceedings book. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Germany 9,30% 4,17% China 9,30% 1,04% 6,98% 3,13% South Korea Czech Republic 6,98% 3,13% USA 6,98% 2,08% 4,65% 2,08% UK Portugal 4,65% 2,08% Iran 4,65% 2,08% India 4,65% 2,08% Brazil 4,65% 1,04% Hungary 4,65% 1,04% Mexico 4,65% 1,04% Finland 2,33% 1,04% Ireland 2,33% 1,04% Slovenia 2,33% 1,04% France 2,33% 1,04% Israel 2,33% 1,04% Spain 2,33% 1,04% Greece 2,33% 1,04% Italy 2,33% 1,04% Sweden 2,33% 1,04% Netherlands 2,33% 1,04% Malaysia 2,33% 1,04% Turkey 2,33% 1,04% Fig. 1. Distribution of papers among countries Twelve papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume.

Author(s): Michael M. Richter (auth.), Petra Perner (eds.)
Series: Lecture Notes in Computer Science 4597
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007

Language: English
Pages: 356
Tags: Pattern Recognition; Image Processing and Computer Vision; Data Mining and Knowledge Discovery; Information Systems Applications (incl.Internet); Database Management; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
Case Based Reasoning and the Search for Knowledge....Pages 1-14
Subsets More Representative Than Random Ones....Pages 15-20
Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme....Pages 21-33
An Efficient Algorithm for Instance-Based Learning on Data Streams....Pages 34-48
Softening the Margin in Discrete SVM....Pages 49-62
Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System....Pages 63-76
Outlier Detection with Streaming Dyadic Decomposition....Pages 77-91
VISRED –Numerical Data Mining with Linear and Nonlinear Techniques....Pages 92-106
Clustering by Random Projections....Pages 107-119
Lightweight Clustering Technique for Distributed Data Mining Applications....Pages 120-134
Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach....Pages 135-147
Improved IR in Cohesion Model for Link Detection System....Pages 148-162
Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web....Pages 163-172
ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients....Pages 173-183
The Role of Prototypical Cases in Biomedical Case-Based Reasoning....Pages 184-198
A Search Space Reduction Methodology for Large Databases: A Case Study....Pages 199-213
Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press....Pages 214-227
Active Learning Strategies: A Case Study for Detection of Emotions in Speech....Pages 228-241
Neural Business Control System....Pages 242-254
A Framework for Discovering and Analyzing Changing Customer Segments....Pages 255-268
Collaborative Filtering Using Electrical Resistance Network Models....Pages 269-282
Visual Query and Exploration System for Temporal Relational Database....Pages 283-295
Towards an Online Image-Based Tree Taxonomy....Pages 296-306
Distributed Generative Data Mining....Pages 307-317
Privacy-Preserving Discovery of Frequent Patterns in Time Series....Pages 318-328
Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits....Pages 329-338
Using Disjunctions in Association Mining....Pages 339-351
Back Matter....Pages -