TY  - GEN
AB  - The book explores a new general approach to selectingand 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 techniqueor 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.
AU  - Urenda, Julio C.,
AU  - Kreinovich, Vladik,
CN  - QA76.9.M35
DO  - 10.1007/978-3-031-16780-5
DO  - doi
ID  - 1450631
KW  - Computer science
KW  - Electronic data processing.
KW  - Computational intelligence.
KW  - Big data.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16780-5
N2  - The book explores a new general approach to selectingand 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 techniqueor 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.
SN  - 9783031167805
SN  - 3031167805
T1  - Algebraic approach to data processing :techniques and applications /
TI  - Algebraic approach to data processing :techniques and applications /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16780-5
VL  - volume 115
ER  -