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Record Nr. |
UNINA9910144713103321 |
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Titolo |
Symbolic data analysis and the SODAS software [[electronic resource] /] / edited by Edwin Diday, Monique Noirhomme-Fraiture |
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Pubbl/distr/stampa |
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Chichester, England ; ; Hoboken, NJ, : J. Wiley & Sons, c2008 |
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ISBN |
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1-281-30833-1 |
9786611308339 |
0-470-72356-4 |
0-470-72355-6 |
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Descrizione fisica |
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1 online resource (477 p.) |
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Altri autori (Persone) |
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DidayE |
Noirhomme-FraitureMonique |
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Disciplina |
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Soggetti |
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Data mining |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Symbolic Data Analysis and the SODAS Software; Contents; Contributors; Foreword; Preface; ASSO Partners; Introduction; 1 The state of the art in symbolic data analysis: overview and future; Part I Databases versus Symbolic Objects; 2 Improved generation of symbolic objects from relational databases; 3 Exporting symbolic objects to databases; 4 A statistical metadata model for symbolic objects; 5 Editing symbolic data; 6 The normal symbolic form; 7 Visualization; Part II Unsupervised Methods; 8 Dissimilarity and matching; 9 Unsupervised divisive classification |
10 Hierarchical and pyramidal clustering11 Clustering methods in symbolic data analysis; 12 Visualizing symbolic data by Kohonen maps; 13 Validation of clustering structure: determination of the number of clusters; 14 Stability measures for assessing a partition and its clusters: application to symbolic data sets; 15 Principal component analysis of symbolic data described by intervals; 16 Generalized canonical analysis; Part III Supervised Methods; 17 Bayesian decision trees; 18 Factor discriminant analysis; 19 Symbolic linear regression methodology |
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