Algebraic Approach to Data Processing - Julio C. Urenda, Vladik Kreinovich

Algebraic Approach to Data Processing

Techniques and Applications
Buch | Hardcover
XIII, 250 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-16779-9 (ISBN)
149,79 inkl. MwSt

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.

 

Introduction.- What Are the Most Natural and the Most Frequent Transformations.- Which Functions and Which Families of Functions Are Invariant.- What Is the General Relation Between Invariance And Optimality.- General Application: Dynamical Systems.- First Application to Physics: Why Liquids?.- Second Application to Physics: Warping of Our Galaxy.

Erscheinungsdatum
Reihe/Serie Studies in Big Data
Zusatzinfo XIII, 250 p. 8 illus., 4 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 553 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte algebraic approach • Big Data • Data processing • DNA computing • Fuzzy Techniques • probabilistic techniques
ISBN-10 3-031-16779-1 / 3031167791
ISBN-13 978-3-031-16779-9 / 9783031167799
Zustand Neuware
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