Data Mining: Special Issue in Annals of Information SystemsAuthor: Robert Stahlbock, Sven F. Crone, Stefan Lessmann Published by Springer US ISBN: 978-1-4419-1279-4 DOI: 10.1007/978-1-4419-1280-0Table of Contents:Data Mining and Information Systems: Quo Vadis? Response-Based Segmentation Using Finite Mixture Partial Least Squares 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 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 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 Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems Using Web Text Mining to Predict Future Events: A Test of the Wisdom of Crowds Hypothesis Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data, Includes bibliographical references