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Classification and Multivariate Analysis for Complex Data Structures

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 adv...

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Bibliographic Details
Other Authors: Fichet, Bernard (Editor), Piccolo, Domenico (Editor), Verde, Rosanna (Editor), Vichi, Maurizio (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2011, 2011
Edition:1st ed. 2011
Series:Studies in Classification, Data Analysis, and Knowledge Organization
Subjects:
Mathematical Statistics
Data Structures And Information Theory
Statistical Theory And Methods
Statistics 
Multimedia Information Systems
Data Structures (computer Science)
Probability And Statistics In Computer Science
Probability Theory And Stochastic Processes
Probabilities
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a Key Notes -- Classification and Discrimination -- Data Mining -- Robustness and Classification -- Categorical Data and Latent Class Approach -- Latent Variables and Related Methods -- Symbolic, Multivalued and Conceptual Data Analysis -- Spatial, Temporal, Streaming and Functional Data Analysis -- Bio and Health Science 
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653 |a Probability Theory and Stochastic Processes 
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700 1 |a Verde, Rosanna  |e [editor] 
700 1 |a Vichi, Maurizio  |e [editor] 
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520 |a 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 

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