Long Papers.- Predictive Graph Mining.- An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases.- Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance.- Mining Noisy Data Streams via a Discriminative Model.- CorClass: Correlated Association Rule Mining for Classification.- Maximum a Posteriori Tree Augmented Naive Bayes Classifiers.- Improving Prediction of Distance-Based Outliers.- Detecting Outliers via Logical Theories and Its Data Complexity.- Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing.- Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach.- Constructive Inductive Learning Based on Meta-attributes.- Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection.- Extracting Positive Attributions from Scientific Papers.- Enhancing SVM with Visualization.- An Associative Information Retrieval Based on the Dependency of Term Co-occurrence.- On the Convergence of Incremental Knowledge Base Construction.- Privacy Problems with Anonymized Transaction Databases.- A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data.- Using the Computer to Study the Dynamics of the Handwriting Processes.- Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions.- Regular Papers.- Optimal Discovery of Subword Associations in Strings.- Tiling Databases.- A Clustering of Interestingness Measures.- Extracting Minimal and Closed Monotone DNF Formulas.- Characterizations of Multivalued Dependencies and Related Expressions.- Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class.- A New Clustering Algorithm Based On Cluster Validity Indices.- An Efficient Rules Induction Algorithm for Rough Set Classification.- Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models.- Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Da
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