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Titlebook: Big Data: Conceptual Analysis and Applications; Michael Z. Zgurovsky,Yuriy P. Zaychenko Book 2020 Springer Nature Switzerland AG 2020 Clus

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發(fā)表于 2025-3-21 16:11:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Big Data: Conceptual Analysis and Applications
影響因子2023Michael Z. Zgurovsky,Yuriy P. Zaychenko
視頻videohttp://file.papertrans.cn/186/185737/185737.mp4
發(fā)行地址Applies methods of modern mathematics and system analytics to the analysis of big data.Extracts hidden regularities from these data.Presents conventional tools of data mining and novel efficient metho
學(xué)科分類(lèi)Studies in Big Data
圖書(shū)封面Titlebook: Big Data: Conceptual Analysis and Applications; Michael Z. Zgurovsky,Yuriy P. Zaychenko Book 2020 Springer Nature Switzerland AG 2020 Clus
影響因子.The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used. Application of hybrid neuro-fuzzy networks for analyzing stock markets was presented. The analysis of big historical, economic and physical data revealed the hidden Fibonacci pattern about the course of systemic world conflicts and their connection with the Kondratieff big economic cycles and the Schwabe–Wolf solar activity cycles. The book is useful for system analysts and practitioners working with complex systems in various spheres of human activity...?.
Pindex Book 2020
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書(shū)目名稱(chēng)Big Data: Conceptual Analysis and Applications影響因子(影響力)學(xué)科排名




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Pattern Recognition in Big Data Analysis, its training are considered. Unlike conventional neural networks (NN) FNN NEFClass may work with uncertain and fuzzy input data and additionally it may use expert knowledge in the form of fuzzy rule base. The training algorithms of FNN NEFClass have accelerated convergence in comparison to conventi
地板
發(fā)表于 2025-3-22 07:49:20 | 只看該作者
Intellectual Analysis of Systemic World Conflicts and Global Forecast for the 21st Century, global conflict called the conflict of the 21st century. Its nature and main characteristics are analyzed. Main global threats are listed, and their impact on five groups of countries is determined using cluster analysis.
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發(fā)表于 2025-3-22 09:29:26 | 只看該作者
Big Data: Conceptual Analysis and Applications978-3-030-14298-8Series ISSN 2197-6503 Series E-ISSN 2197-6511
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發(fā)表于 2025-3-22 15:35:22 | 只看該作者
https://doi.org/10.1007/978-3-642-87134-4 global conflict called the conflict of the 21st century. Its nature and main characteristics are analyzed. Main global threats are listed, and their impact on five groups of countries is determined using cluster analysis.
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發(fā)表于 2025-3-22 20:30:35 | 只看該作者
Some Physical-Chemical Fundamentalspossibilistic clustering methods, their properties and application. The problem of cluster analysis is formulated, main criteria and metrics are considered and discussed. Classification of cluster analysis methods is presented, several crisp methods are considered, in particular, hard C-means method
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https://doi.org/10.1007/978-3-642-87134-4 global conflict called the conflict of the 21st century. Its nature and main characteristics are analyzed. Main global threats are listed, and their impact on five groups of countries is determined using cluster analysis.
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