Building Bridges between Soft and Statistical Methodologies for Data Science (Paperback, 1st 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 1433
Release date:	September 2022
First published:	2023
Editors:	Luis A. Garcia-Escudero • Alfonso Gordaliza • Agustin Mayo • Maria Asuncion Lubiano Gomez • Maria Angeles Gil • Przemyslaw Grzegorzewski • Olgierd Hryniewicz
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	408
Edition:	1st ed. 2023
ISBN-13:	978-3-03-115508-6
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-115508-4
Barcode:	9783031155086

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