In conjunction with ICDM four workshops were held on special hot applicati- oriented topics in data mining: Data Mining in Marketing DMM, Data Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia Data CBR-MD, and the Workshop on Data Mining in Agriculture DMA.

Invited Talk.- Moving Targets.- Bioinformatics Contributions to Data Mining.- Theoretical Aspects of Data Mining.- Bootstrap Feature Selection for Ensemble Classifiers.- Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths.- Finding Irregularly Shaped Clusters Based on Entropy.- Fuzzy Conceptual Clustering.- Mining Concept Similarities for Heterogeneous Ontologies.- Re-mining Positive and Negative Association Mining Results.- Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining.- Describing Data with the Support Vector Shell in Distributed Environments.- Robust Clustering Using Discriminant Analysis.- New Approach in Data Stream Association Rule Mining Based on Graph Structure.- Multimedia Data Mining.- Fast Training of Neural Networks for Image Compression.- Processing Handwritten Words by Intelligent Use of OCR Results.- Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding.- Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data.- Entropic Quadtrees and Mining Mars Craters.- Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification.- Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders.- Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images.- Data Mining in Marketing.- Quantile Regression Model for Impact Toughness Estimation.- Mining for Paths in Flow Graphs.- Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis.- Managing Product Life Cycle with MultiAgent Data Mining System.- Modeling Pricing Strategies Using Game Theory and Support Vector Machines.- Data Mining in Industrial Processes.- Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine.- Dynamic Pattern Extraction of Parameters in Laser Welding Process.- Trajectory Clustering for Vibration Detection in Aircraft Engines.- Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data.- Predicting Disk Failures with HMM- and HSMM-Based Approaches.- Aircraft Engine Health Monitoring Using Self-Organizing Maps.- Data Mining in Medicine.- Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy.- Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions.- Medical Datasets Analysis: A Constructive Induction Approach.- Data Mining in Agriculture.- Regression Models for Spatial Data: An Example from Precision Agriculture.- Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database.- WebMining.- Spam Email Filtering Using Network-Level Properties.- Domain-Specific Identification of Topics and Trends in the Blogosphere.- Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways.- Interest-Determining Web Browser.- Web-Site Boundary Detection.- Data Mining in Finance.- An Application of Element Oriented Analysis Based Credit Scoring.- A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs.- Aspects of Data Mining.- Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool.- The Orange Customer Analysis Platform.- Semi-supervised Learning for False Alarm Reduction.- Learning from Humanoid Cartoon Designs.- Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference.- Data Mining for Network Performance Monitoring.- Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool.- Selection of Effective Network Parameters in Attacks for Intrusion Detection.

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