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Building bridges between soft and statistical methodologies for data science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building bridges between soft and statistical methodologies for data scienceedited by Luis A. García-Escudero ... [et al.].
other author:	García-Escudero, Luis A.
corporate name:
Published:	Cham :Springer International Publishing :2023.
Description:	xiii, 408 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-15509-3
ISBN:	9783031155093$q(electronic bk.)

Building bridges between soft and statistical methodologies for data science
Building bridges between soft and statistical methodologies for data science[electronic resource] /edited by Luis A. García-Escudero ... [et al.]. - Cham :Springer International Publishing :2023. - xiii, 408 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,v. 14332194-5365 ;. - Advances in intelligent systems and computing ;176..

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.

ISBN: 9783031155093$q(electronic bk.)

Standard No.: 10.1007/978-3-031-15509-3doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Building bridges between soft and statistical methodologies for data science
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520 $a 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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