Data Analysis, Classification and the Forward Search

. Ed(s): Zani, Sergio; Cerioli, Andrea; Riani, Marco; Vichi, Maurizio

ISBN 10: 354035977X / ISBN 13: 9783540359777

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2006

Presents developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. This book deals with the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with an emphasis on the novel Forward Search approach. Editor(s): Zani, Sergio; Cerioli, Andrea; Riani, Marco; Vichi, Maurizio. Series: Studies in Classification, Data Analysis, and Knowledge Organization. Num Pages: 434 pages, 50 black & white tables, biography. BIC Classification: GLK. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 613. . 2006. Paperback. . . . . Books ship from the US and Ireland. Codice articolo V9783540359777

Riassunto:

This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The volume offers contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers provide significant insight in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.

Contenuti: Clustering and Discrimination.- Genetic Algorithms-based Approaches for Clustering Time Series.- On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity.- Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication.- Graphical Representation of Functional Clusters and MDS Configurations.- Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping.- Sequential Decisional Discriminant Analysis.- Regularized Sliced Inverse Regression with Applications in Classification.- Multidimensional Data Analysis and Multivariate Statistics.- Approaches to Asymmetric Multidimensional Scaling with External Information.- Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC.- Missing Data in Optimal Scaling.- Simple Component Analysis Based on RV Coefficient.- Baum-Eagon Inequality in Probabilistic Labeling Problems.- Monotone Constrained EM Algorithms for Multinormal Mixture Models.- Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations.- Automatic Discount Selection for Exponential Family State-Space Models.- A Generalization of the Polychoric Correlation Coefficient.- The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models.- Calibration Confidence Regions Using Empirical Likelihood.- Robust Methods and the Forward Search.- Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data.- Robust Transformation of Proportions Using the Forward Search.- The Forward Search Method Applied to Geodetic Transformations.- An R Package for the Forward Analysis of Multivariate Data.- A Forward Search Method for Robust Generalised Procrustes Analysis.- A Projection Method for Robust Estimation and Clustering in Large Data Sets.- Robust Multivariate Calibration.- Data Mining Methods and Software.- Procrustes Techniques for Text Mining.- Building Recommendations from Random Walks on Library OPAC Usage Data.- A Software Tool via Web for the Statistical Data Analysis: R-php.- Evolutionary Algorithms for Classification and Regression Trees.- Variable Selection Using Random Forests.- Boosted Incremental Tree-based Imputation of Missing Data.- Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering.- Multivariate Methods for Customer Satisfaction and Service Evaluation.- Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization.- Analyzing Evaluation Data: Modelling and Testing for Homogeneity.- Archetypal Analysis for Data Driven Benchmarking.- Determinants of Secondary School Dropping Out: a Structural Equation Model.- Testing Procedures for Multilevel Models with Administrative Data.- Multidimensional Versus Unidimensional Models for Ability Testing.- Multivariate Methods in Applied Science.- A Spatial Mixed Model for Sectorial Labour Market Data.- The Impact of the New Labour Force Survey on the Employed Classification.- Using CATPCA to Evaluate Market Regulation.- Credit Risk Management Through Robust Generalized Linear Models.- Classification of Financial Returns According to Thresholds Exceedances.- Nonparametric Clustering of Seismic Events.- A Non-Homogeneous Poisson Based Model for Daily Rainfall Data.- A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury.

Dati bibliografici

Titolo: Data Analysis, Classification and the ...
Casa editrice: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Data di pubblicazione: 2006
Legatura: Brossura
Condizione: New