Advances in Data Mining. Applications and Theoretical Aspects

Invited Talk.- Distances in Classification.- Data Mining in Medicine and Agriculture.- Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms.- Data Mining of Agricultural Yield Data: A Comparison of Regression Models.- Study of Principal Components on Classification of Problematic Wine Fermentations.- A Data Mining Method for Finding Hidden Relationship in Blood and Urine Examination Items for Health Check.- Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation.- Computer-Aided Diagnosis in Brain Computed Tomography Screening.- Knowledge Representation in Difficult Medical Diagnosis.- Data Mining in Marketing, Finance and Telecommunication.- Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System.- Visualizing the Competitive Structure of Online Auctions.- Credit Risk Handling in Telecommunication Sector.- Sales Intelligence Using Web Mining.- A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods.- Data Mining in Process Control, Industry and Society.- Screening Paper Runnability in a Web-Offset Pressroom by Data Mining.- Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques.- SO_MAD: SensOr Mining for Anomaly Detection in Railway Data.- Online Mass Flow Prediction in CFB Boilers.- Integrating Data Mining and Agent Based Modeling and Simulation.- Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring.- A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence.- Data Mining on Multimedia Data.- Ordinal Evaluation: A New Perspective on Country Images.- Evaluation of Fusion for Similarity Searching in Online Handwritten Documents.- Self-training Strategies for Handwriting Word Recognition.- On a New Similarity Analysis in Frequency Domain for Mining Faces within a Complex Background.- Theoretical Aspects of Data Mining.- Clustering with Domain Value Dissimilarity for Categorical Data.- The Normalized Compression Distance as a Distance Measure in Entity Identification.- Attribute Constrained Rules for Partially Labeled Sequence Completion.- Mining Determining Sets for Partially Defined Functions.- On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features.- On Cellular Network Channels Data Mining and Decision Making through Ant Colony Optimization and Multi Agent Systems Strategies.- Responsible Data Releases.