Front cover image for Advances in data mining : theoretical aspects and applications : 7th industrial conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007 : proceedings

Advances in data mining : theoretical aspects and applications : 7th industrial conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007 : proceedings

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
eBook, English, ©2007
Springer, Berlin, ©2007
Congress
1 online resource (xi, 351 pages) : illustrations
9783540734352, 9783540734345, 354073435X, 3540734341
184915564
Invited Talk
Case Based Reasoning and the Search for Knowledge
Aspects of Classification and Prediction
Subsets More Representative Than Random Ones
Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme
An Efficient Algorithm for Instance-Based Learning on Data Streams
Softening the Margin in Discrete SVM
Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System
Outlier Detection with Streaming Dyadic Decomposition
VISRED -Numerical Data Mining with Linear and Nonlinear Techniques
Clustering
Clustering by Random Projections
Lightweight Clustering Technique for Distributed Data Mining Applications
Web Mining
Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach
Improved IR in Cohesion Model for Link Detection System
Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web
Data Mining in Medicine
ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients
The Role of Prototypical Cases in Biomedical Case-Based Reasoning
Applications of Data Mining
A Search Space Reduction Methodology for Large Databases: A Case Study
Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press
Active Learning Strategies: A Case Study for Detection of Emotions in Speech
Neural Business Control System
A Framework for Discovering and Analyzing Changing Customer Segments
Collaborative Filtering Using Electrical Resistance Network Models
Visual Query and Exploration System for Temporal Relational Database
Towards an Online Image-Based Tree Taxonomy
Distributed Generative Data Mining
Time Series and Frequent Pattern Mining
Privacy-Preserving Discovery of Frequent Patterns in Time Series
Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits
Association Minnig
Using Disjunctions in Association Mining