Algebraic Approach to Data Processing: Techniques and Applications: 115 (Studies in Big Data, 115) - Tapa dura

Urenda, Julio C.; Kreinovich, Vladik

 
9783031167799: Algebraic Approach to Data Processing: Techniques and Applications: 115 (Studies in Big Data, 115)
Tapa dura
ISBN 10: 3031167791 ISBN 13: 9783031167799
Editorial: Springer, 2022

Sinopsis

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.

 

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3031167791
ISBN 13 
9783031167799
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
266
Contacto del fabricante
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Darmstadt
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Alemania

Otras ediciones populares con el mismo título

9783031167829: Algebraic Approach to Data Processing: Techniques and Applications: 115 (Studies in Big Data)

Edición Destacada

ISBN 10:  3031167821 ISBN 13:  9783031167829
Editorial: Springer, 2023
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