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Building Bridges between Soft and Statistical Methodologies for Data Science

E-BookPDF1 - PDF WatermarkE-Book
408 Seiten
Englisch
Springer International Publishingerschienen am24.08.20221st ed. 2023
Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.

This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
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Verfügbare Formate
BuchKartoniert, Paperback
EUR246,09
E-BookPDF1 - PDF WatermarkE-Book
EUR234,33

Produkt

KlappentextNowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.

This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
Details
Weitere ISBN/GTIN9783031155093
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2022
Erscheinungsdatum24.08.2022
Auflage1st ed. 2023
Reihen-Nr.1433
Seiten408 Seiten
SpracheEnglisch
IllustrationenXIII, 408 p. 83 illus., 55 illus. in color.
Artikel-Nr.9706839
Rubriken
Genre9200