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Titlebook: Algebraic Approach to Data Processing; Techniques and Appli Julio C. Urenda,Vladik Kreinovich Book 2022 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-25 04:41:58 | 只看該作者
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Decadence, Degeneration, and the Endthat these good people do, one would expect that other people would appreciate them, cherish them, and that, in general, their attitude towards these good people would be positive. However, in real life, the attitude is often neutral or even negative. The resulting emotions hurt our ability to liste
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發(fā)表于 2025-3-25 18:29:00 | 只看該作者
https://doi.org/10.1007/978-3-031-16780-5Big Data; Algebraic Approach; Data Processing; DNA Computing; Fuzzy Techniques; Probabilistic Techniques
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978-3-031-16782-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-26 03:25:20 | 只看該作者
Julio C. Urenda,Vladik KreinovichDemonstrates 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
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Studies in Big Datahttp://image.papertrans.cn/a/image/152545.jpg
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Conclusion and Scope for Future ResearchIn data processing, we deal with numerical values of different physical quantities. Computers just treat these values as numbers, but from the physical viewpoint, it is important to understand that the numerical values are not absolute: they change if we change the measuring unit and/or the starting point for measuring the corresponding quantity.
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發(fā)表于 2025-3-26 18:13:32 | 只看該作者
Conclusion and Scope for Future ResearchAs we have mentioned earlier, our main objective is to study the relation between several quantities. In computational terms, this relation corresponds to an algorithm . that transforms the inputs . into the result .. In mathematical terms, this dependence represents a ., so we need to study functions.
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