Classification: V. Batagelj, A. Ferligoj: Clustering Relational Data.-A. Gordon: An Iterative Relocation Algorithm for Classifiying Symbolic Data.-R. Kiel, M. Schader: Automatic Classification with Classifying Automata.-G. Ritter: Classification and Clustering of Objects with Variants.-D. Vicari, M. Vichi: Non-Hierarchical Classification Structures.-M. Yacoub, D. Frayssinet, F. Badran, S. Thiria: Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map.-Data Analysis: G. Arminger, J. Wittenberg: Unobserved Heterogeneity in Mean- and Covariance Structure Models.-J.-P. Barthélemy, F. Brucker: Average Consensus in Numerical Taxonomy and some Generalizations.- H. Bozdogan: Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria.-F. Critchley: On an Framework for Dissimilarity Analysis.-G. De Soete, J. Daws: Least-Squares Ultrametric Tree Representations of Three-Way One-Mode Proximity Data.- E.Diday, Y. Lechevallier: From Data Mining to Knowledge Mining: An Introduction to Symbolic Data Analysis.-O. Gascuel: Evidence for a Relationship Between Algorithmic Scheme and Shape of Inferred Trees.-J.A. Hartigan: Testing for Antimodes.-P. Ihm: A classification of Bivariate Negative Binomial Distributions.-Y. Kharin: Robust Forecasting of Parametric Trend of Time Series under 'Outliers'.-H. Kiers, W. Krzanowski: Projections Distinguishing Isolated Groups in Multivariate Data Spaces.-C. Lauro, V. Esposito: Non-Symmetrical Data Analysis Approaches: Recent Developments and Perspectives.-L. Lebart: Contiguity Analysis and Classification.-I. Lerman, V. Rouat: New Results in Cutting Seriation for Approximate # SAT.-R. Meyer; Applied Bayesan Data Analysis Using State-Space Models.-F. Murtagh, J.-L. Starck, N. McMillan, J. Campbell: Intelligent Data Modeling Based on the Wavelet Transform and Data Entropy.-S. Nishisato: A Characterization of Ordinal Data.-W.Polasek, R. Lei: Generalized Impulse Response Functions for VAR-GARCH-M Models.-J.-P. Rasson, D. Jacquemin, V. Bertholet: A New Geometrical Hypothesis for Partitioning and Discriminant Analysis.-A. Rizzi: Ultrametrics and p-adic Numbers.-P.J. Rousseeuw, K. Van Driessen: An Algorithm for Positive-Breakdown Regression Based on Concentration Steps.-T. Saito: Unidimensional Structure Detected by Analysis of an Asymmetric Data Matrix.-Y. Schektman, R. Abdesselam: A Geometrical Relational Model for Data Analysis.-H. Strasser: Towards a Statistical Theory of Optimal Quantization.-M. Windham: Robust Clustering.- Applications: U. Becker, L. Fahrmeir: Bump Hunting for Risk: A New Data Mining Tool.-L. Bryant, P. Bryant: Clusters of Bibliographic References: A Brief Case Study.-U. Gather, R. Fried, M. Imhoff: Online Classification of States in Intensive Care.-W. Gaul, L. Schmidt-Thieme: Frequent Generalized Subsequences - A Problem From Web Mining.-A. Geyer-Schulz, M. Hahsler, M. Jahn: myVU: A Next Generation Recommender System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms.-P. Groenen, R. Mathar, J. Trejos: Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communication.-D. Hand: Synergy in Drug Combinations.-H. Hruschka, M. Probst, W. Fettes: Maximum Likelihood Clustering for Elasticity-Based Market Segmentation.-K. Jajuga: Statistics and Data Analysis in Market Risk Measurement.- A. Okada: An Asymmetric Cluster Analysis Study of Car Switching Data.-O. Opitz, A. Hilbert: Visualization of Multivariate Data by Scaling and Property Fitting.-K. Yajima: Facts and Problems in the Lung Cancer Medical Cost Analysis Through Claims Data
