Neural Nets: S. Raudys: Overtraining in Single-Layer Perceptrons; H. Ritter: Neural Networks for Rapid Learning in Computer Vision and Robotics.– Statistics and Networks: R.A. Müller: Adaptive Market Simulation and Risk Assessment; E. Rödel: Processing of Prior-Information in Statistics by Projections on Convex Cones.– Classification and Data Mining: H.H. Bock: Simultaneous Visualization and Clustering Methods as an Alternative to Kohonen Maps; H. Hellendoorn: Data analysis in Industry - A Practical Guideline; F. Klawonn, R. Kruse, H. Timm: Fuzzy Shell Cluster Analysis; F. Wysotzki, W. Müller, B. Schulmeister: Automatic Construction of Decision Trees and Neural Nets for Classification Using Statistical Considerations; Y. Kodratoff: From the Art of KDD to the Science of KDD.– Machine Learning: I. Bratko: Machine Learning: Between Accuracy and Interpretability; N. Lavrac, D. Gamberger, P. Turney: Preprocessing by a Cost-Sensitive Literal Reduction Algorithm: REDUCE; L. Saitta: A General Framework for Supporting Relational Concept Learning; R. Trappl, J. Fürnkranz, J. Petrak, J. Bercovitch: Machine Learning and Case-Based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them.