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Building Bridges between Soft and Statistical Methodologies for Data Science

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Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2022-08-24

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Description

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.
Pages
408 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2022-08-24
Marque
Springer
EAN papier
9783031155086
EAN PDF
9783031155093
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
13312 Ko
Prix
231,04 €
EAN EPUB
9783031155093
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
36977 Ko
Prix
231,04 €

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