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New developments in classification and data analysis : proceedings of the meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22-24, 2003

Author: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.
Publisher: Berlin : Springer, 2005.
Series: Studies in classification, data analysis, and knowledge organization.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:
The volume presents new developments in data analysis and classification. Particular attention is devoted to clustering, discrimination, data analysis and statistics, as well as applications in biology, finance and social sciences. The reader will find theory and algorithms on recent technical and methodological developments and many application papers showing the empirical usefulness of the newly developed  Read more...
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Genre/Form: Electronic books
Conference proceedings
Congresses
Additional Physical Format: Print version:
New developments in classification and data analysis.
Berlin : Springer, 2005
(DLC) 2005920314
(OCoLC)58602486
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.
ISBN: 9783540273738 3540273735 3540238093 9783540238096
OCLC Number: 209863818
Notes: Internat. conference proceedings.
Description: 1 online resource (x, 369 pages) : 92 fig., 66 table.
Contents: Multi-Class Budget Exploratory Trees; Methods to Compare Nonparametric Classifiers and to Select the Predictors; Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis; Simplifying Classification Trees Through Consensus Methods; Selecting the Training Set in Classification Problems with Rare Events; A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey; A Collinearity Based Hierarchical Method to Identify Clusters of Variables.
Series Title: Studies in classification, data analysis, and knowledge organization.
Responsibility: Maurizio Vichi [and others], editors.
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Abstract:

Presents developments in data analysis and classification. This book pays attention to clustering, discrimination, data analysis and statistics, as well as applications in biology, finance and social  Read more...

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