Between Data Science and Applied Data Analysis

Robust Classification Through the Forward Search.- Fitting and Smoothing Properties of Length Constrained Smoothers Applied to Time Series.- Interaction Terms in Non-linear PLS via Additive Spline Transformation.- Discriminant Analysis With Categorical Variables: A Biplot Based Approach.- Efficient Density Clustering Using Basin Spanning Thees.- Some Issues on Clustering of Functional Data.- Scalable Clustering of High Dimensional Data.- Methods to Combine Classification Trees.- Core-Based Clustering Techniques.- Combining Regression Trees and Radial Basis Function Networks in Longitudinal Data Modelling.- Implementing a new Method for Discriminant Analysis When Group Covariance Matrices are Nearly Singular.- Two Approaches for Discriminant Partial Least Squares.- Improving the Classification Performance of a Discriminant Rule by Dealing With Data Cases Having a Substantial Influence on Variable Selection.- Classification and Clustering of Vocal Performances.- Cluster- and Discriminant Analysis With Both Metric and Categorial Data.- Multivariate Mixture Models Estimation: A Genetic Algorithm Approach.- Two-Way Clustering for Contingency Tables: Maximizing a Dependence Measure.- Localised Mixtures of Experts for Mixture of Regressions.- A Bayesian Approach for the Estimation of the Covariance Structure of Separable Spatio-Temporal Stochastic Processes.- An Algorithm for the HICLAS-R Model.- Some Applications of Time-Varying Coefficient Models to Count Data.- On Ziggurats and Dendrograms.- A Dimensionality Reduction Method Based on Simple Linear Regressions.- Evolutionary Strategies to Avoid Local Mimima in Multidimensional Scaling.- Principal Component Analysis of Boolean Symbolic Objects.- Multivariate Analysis for Variables of Arbitrary Information Level.- How Wrong Models Become Useful — and Correct Models Become Dangerous.- Visualizing Symbolic Data by Closed Shapes.- LBGU-EM Algorithm for Mixture Density Estimation.- Change-Points in Bernoulli Trials With Dependence.- Two-Mode Clustering Methods: Compare and Contrast.- Sensitivity of Graphical Modeling Against Contamination.- New Graphical Symbolic Objects Representations in Parallel Coordinates.- A Hierarchical Classes Approach to Discriminant Analysis.- Prediction Optimal Data Analysis by Means of Stochastic Search.- System Error Variance Tuning in State-Space Models.- Corrado Gini and Multivariate Statistical Analysis: The (so far) Missing Link.- On Correspondence Analysis of Incomplete Orderings.- Some Statistical Issues in Microarray Data Analysis.- Background of the Variability in Past Human Populations: Selected Methodological Issues.- Spatial Prediction With Space-Time Models.- Neural Budget Networks of Sensorial Data.- Evolutionary Model Selection in Bayesian Neural Networks.- Extreme Datamining 387.- Information Filtering Based on Modal Symbolic Objects.- Analyzing Learner Behavior and Performance.- An Integration Strategy for Distributed Recommender Services in Legacy Library Systems.- Comparing Simple Association-Rules and Repeat-Buying Based Recommender Systems in a B2B Environment.- Students’ Preferences Related to Web Based E-Learning: Results of a Survey.- MURBANDY: The (so far) Missing Link: User-Friendly Retrieval and Visualization of Geographic Information.- ASCAID: Using an Asymmetric Correlation Measure for Automatic Interaction Detection 447.- Discriminative Clustering: Vector Quantization in Learning Metrics.- Neural Network Hybrid Learning: Genetic Algorithms & Levenberg-Marquardt.- Syntagmatic and Paradigmatic Associations in Information Retrieval.- Finding the Most Useful Clusters: Clustering and the Usefulness Metric.- Internet Thesaurus — Extracting Relevant Terms from WWW Pages using Weighted Threshold Function over a Cross-Reference Matrix.- Reflections on a Supervised Approach to Independent Component Analysis.- Simulated Annealing and Tabu Search for Optimization of Neural Networks.- Decentralizing Risk Management in the Case of Quadratic Hedging.- Multimedia Stimulus Presentation Methods for Conjoint Studies in Marketing Research.- Forecasting the Customer Development of a Publishing Company with Decision Trees.- Estimation of Default Probabilities in a Single-Factor Model.- Simultaneous Confidence Intervals for Default Probabilities.- Model-Based Clustering With Hidden Markov Models and its Application to Financial Time-Series Data.- Classification of Multivariate Data With Missing Values Using Expected Discriminant Scores.- Assessment of the Polish Manufacturing Sector Attractiveness: An End-User Approach.- Developing a Layout of a Supermarket Through Asymmetric Multidimensional Scaling and Cluster Analysis of Purchase Data.- Market Segmentation Method From the Bayesian Viewpoint.- Support Vector Machines for Credit Scoring: Comparing to and Combining With Some Traditional Classification Methods.- Classification of Amino-Acid Sequences Using State-Space Models.- Quantitative Study of Images in Archaeology: I. Textual Coding.- Quantitative Study of Images in Archaeology: II. Symbolic Coding.- Power Functions in Multiple Sampling Plans Using DNA Computation.- Methodological Issues in the Baffling Relationship Between Hepatitis C Virus and Non Hodgkin’s Lymphomas.- Class Discovery in Gene Expression Data: Characterizing Splits by Support Vector Machines.- Efficient Clustering Methods for Tumor Classification With Microarrays.- A Method to Classify Microarray Data.