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Building bridges between soft and statistical methodologies for data science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Building bridges between soft and statistical methodologies for data scienceedited by Luis A. García-Escudero ... [et al.].
其他作者:	García-Escudero, Luis A.
團體作者:
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xiii, 408 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Big dataCongresses.
電子資源:	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

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