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.

This book constitutes the refereed proceedings of the 7th Industrial Conference on Data Mining, ICDM 2007, held in Leipzig, Germany in July 2007. The 25 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 96 submissions. The papers are organized in topical sections on 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.