Advances in Data Mining - Theoretical Aspects and Applications

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.