Data Mining and Information Systems: Quo Vadis? -- Confirmatory data analysis -- Response-Based Segmentation Using Finite Mixture Partial Least Squares -- Knowledge discovery from supervised learning -- Building Acceptable Classification Models -- Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property -- Classification Techniques and Error Control in Logic Mining -- Classification analysis -- An Extended Study of the Discriminant Random Forest -- Prediction with the SVM Using Test Point Margins -- Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers -- The Impact of Small Disjuncts on Classifier Learning -- Hybrid data mining procedures -- Predicting Customer Loyalty Labels in a Large Retail Database: A Case Study in Chile -- PCA-based Time Series Similarity Search -- Evolutionary Optimization of Least-Squares Support Vector Machines -- Genetically Evolved kNN Ensembles -- Web-mining -- Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems -- Using Web Text Mining to Predict Future Events: A Test of the Wisdom of Crowds Hypothesis -- Privacy-preserving data mining -- Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model -- Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data.