| 期刊全稱 | Algebraic Approach to Data Processing | | 期刊簡(jiǎn)稱 | Techniques and Appli | | 影響因子2023 | Julio C. Urenda,Vladik Kreinovich | | 視頻video | http://file.papertrans.cn/153/152545/152545.mp4 | | 發(fā)行地址 | Demonstrates the importance of the algebraic approach for data processing.Provides theoretical justifications for heuristic techniques new more efficient data processing methods.Shows that the algebra | | 學(xué)科分類 | Studies in Big Data | | 圖書封面 |  | | 影響因子 | .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. ..?. | | Pindex | Book 2022 |
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