ISBN: 9783642133121
The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as wel… Mehr…
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2011, ISBN: 9783642133121
The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as wel… Mehr…
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ISBN: 9783642133121
This volume covers the latest advances in data analysis methods for multidimensional data which can present a complex structure. Special attention is paid to new methodological contributi… Mehr…
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ISBN: 9783642133121
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2011, ISBN: 9783642133121
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ISBN: 9783642133121
The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as wel… Mehr…
2011, ISBN: 9783642133121
The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as wel… Mehr…
ISBN: 9783642133121
This volume covers the latest advances in data analysis methods for multidimensional data which can present a complex structure. Special attention is paid to new methodological contributi… Mehr…
ISBN: 9783642133121
Classification and Multivariate Analysis for Complex Data Structures: ab 96.49 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
2011, ISBN: 9783642133121
eBooks, eBook Download (PDF), 2011, [PU: Springer Berlin], Springer Berlin, 2011
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Detailangaben zum Buch - Classification and Multivariate Analysis for Complex Data Structures
EAN (ISBN-13): 9783642133121
ISBN (ISBN-10): 3642133126
Erscheinungsjahr: 2011
Herausgeber: Springer Berlin
473 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2011-08-20T00:18:44+02:00 (Zurich)
Detailseite zuletzt geändert am 2023-10-07T20:38:21+02:00 (Zurich)
ISBN/EAN: 9783642133121
ISBN - alternative Schreibweisen:
3-642-13312-6, 978-3-642-13312-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: verde, rosa, maurizio, maurizi, domenico, picco, böhme
Titel des Buches: multivariate data analysis, complex analysis
Daten vom Verlag:
Autor/in: Bernard Fichet; Domenico Piccolo; Rosanna Verde; Maurizio Vichi
Titel: Studies in Classification, Data Analysis and Knowledge Organization; Classification and Multivariate Analysis for Complex Data Structures
Verlag: Springer; Springer Berlin
473 Seiten
Erscheinungsjahr: 2011-03-04
Berlin; Heidelberg; DE
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XIX, 473 p. 110 illus., 34 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Classification; Data Mining; Multidimensional Data; Multivariate Data Analysis; Optimal Scaling; C; Statistical Theory and Methods; Probability and Statistics in Computer Science; Data Structures and Information Theory; Probability Theory; Multimedia Information Systems; Mathematics and Statistics; Mathematik für Informatiker; Algorithmen und Datenstrukturen; Informationstheorie; Stochastik; Grafische und digitale Media-Anwendungen; BC
The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.Latest advances in data analysis methods for multidimensional data With contributions by international experts Special attention to new methodological contributions from theoretical and applicative points of view Includes supplementary material: sn.pub/extras
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