Algebraic Approach to Data Processing - Techniques and Applications (Hardcover, 1st ed. 2022)

The book explores a new general approach to selecting-and designing-data processing techniques. Symmetry and invariance ideas behind this algebraic approach have been successful in physics, where many new theories are formulated in symmetry terms. The book explains this approach and expands it to new application areas ranging from engineering, medicine, education to social sciences. In many cases, this approach leads to optimal techniques and optimal solutions. That the same data processing techniques help us better analyze wooden structures, lung dysfunctions, and deep learning algorithms is a good indication that these techniques can be used in many other applications as well. The book is recommended to researchers and practitioners who need to select a data processing technique-or who want to design a new technique when the existing techniques do not work. It is also recommended to students who want to learn the state-of-the-art data processing.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 115
Release date:	October 2022
First published:	2022
Authors:	Julio C. Urenda • Vladik Kreinovich
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	250
Edition:	1st ed. 2022
ISBN-13:	978-3-03-116779-9
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-116779-1
Barcode:	9783031167799

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