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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

Autor: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.; et al
Editora: Berlin : Springer, 2005.
Séries: Studies in classification, data analysis, and knowledge organization.
Edição/Formato   e-book : Documento : Publicação de conferência : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
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  Ler mais...
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Gênero/Forma: Electronic books
Congresses
Formato Físico Adicional: Print version:
New developments in classification and data analysis.
Berlin : Springer, 2005
(DLC) 2005920314
(OCoLC)58602486
Tipo de Material: Publicação de conferência, Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.; et al
ISBN: 9783540273738 3540273735 3540238093 9783540238096
Número OCLC: 209863818
Notas: Internat. conference proceedings.
Descrição: 1 online resource (x, 369 p.) : 92 fig., 66 tab.
Conteúdos: 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.
Título da Série: Studies in classification, data analysis, and knowledge organization.
Responsabilidade: Maurizio Vichi ... [et al.], editors.
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Resumo:

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  Ler mais...

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