Innovations in Classification, Data Science, and Information Systems

Proceedings of the 27th Annual Conference of the Gesellschaft f¼r Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003

By: Daniel Baier (Editor), Klaus-Dieter Wernecke (Editor)

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Paperback | 19 November 2004

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630 Pages

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22.86 x 14.61 x 3.18

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The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

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You Can Find This Book In

Non-Fiction Business & Management Business Mathematics & Systems Computing & I.T.Computer Science Mathematics Probability & Statistics Library & Info Sciences Bibliographic & Subject Control Digital Lifestyle & Online World: Consumer & User Guides Internet Guides & Online Services Graphical & Digital Media Applications

3D Graphics & Modelling Business Applications Mathematical & Statistical Software Engineering & Technology Technology in General Databases

A new agglomerative 2-3 hierarchical clustering algorithm	p. 3
Symbolic classifier with convex hull based dissimilarity function	p. 11
Two-mode cluster analysis via hierarchical Bayes	p. 19
On application of a certain classification procedure to mean value estimation under double sampling for nonresponse	p. 30
Regression clustering with redescending M-estimators	p. 38
ClusCorr98 - adaptive clustering, multivariate visualization, and validation of results	p. 46
Stratification before discriminant analysis : a must?	p. 54
An exchange algorithm for two-mode cluster analysis	p. 62
Model-based cluster analysis applied to flow cytometry data	p. 69
On stratification using auxiliary variables and discriminant method	p. 77
Measuring distances between variables by mutual information	p. 81
Pareto density estimation : a density estimation for knowledge discovery	p. 91
Modelling the claim count with Poisson regression and negative binomial regression	p. 103
Chemical balance weighing design with different variances of errors	p. 111
Combination of regression trees and logistic regression to analyse animal management and disease data	p. 120
Robustness of ML estimators of location-scale mixtures	p. 128
On the modification of the David-Hellwig test	p. 138
Simultaneous selection of variables and smoothing parameters in additive models	p. 146
Multiple change points and alternating segments in binary trials with dependence	p. 154
Outlier identification rules for generalized linear models	p. 165
Dynamic clustering with non-quadratic adaptive distances for interval-type data	p. 173
Partial moments and negative moments in ordering asymmetric distributions	p. 181
Classification of method fragments using a reference meta model	p. 191
Finding metabolic pathways in decision forests	p. 199
Randomization in aggregated classification trees	p. 207
Data mining - the Polish experience	p. 217
Extracting continuous relevant features	p. 224
Individual rationality versus group rationality in statistical modelling issues	p. 239
Mining promising qualification patterns	p. 249
Partial correlation graphs and dynamic latent variables for physiological time series	p. 259
Bootstrap resampling tests for quantized time series	p. 267
Imputation strategies for missing data in environmental time series for an unlucky situation	p. 275
Prediction of notes from vocal time series : an overview	p. 283
Parsimonious segmentation of time series by Potts models	p. 295
Application of discrete choice methods in consumer preference analysis	p. 305
Competition analysis in marketing using rank ordered data	p. 313
Handling missing values in marketing research using SOM	p. 322
Applicability of customer churn forecasts in a non-contractual setting	p. 330
A gravity-based multidimensional unfolding model for preference data	p. 338
Customer relationship management in the telecommunications and utilities markets	p. 346
Strengths and weaknesses of support vector machines within marketing data analysis	p. 355
Classification of career-lifestyle patterns of women	p. 363
Table of Contents provided by Blackwell. All Rights Reserved.

Innovations in Classification, Data Science, and Information Systems

Proceedings of the 27th Annual Conference of the Gesellschaft f¼r Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003

At a Glance

Paperback

Shipping

How to return your order

Defective items

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