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標(biāo)題: Titlebook: Big Data: Conceptual Analysis and Applications; Michael Z. Zgurovsky,Yuriy P. Zaychenko Book 2020 Springer Nature Switzerland AG 2020 Clus [打印本頁]

作者: 技巧    時(shí)間: 2025-3-21 16:11
書目名稱Big Data: Conceptual Analysis and Applications影響因子(影響力)




書目名稱Big Data: Conceptual Analysis and Applications影響因子(影響力)學(xué)科排名




書目名稱Big Data: Conceptual Analysis and Applications網(wǎng)絡(luò)公開度




書目名稱Big Data: Conceptual Analysis and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data: Conceptual Analysis and Applications被引頻次




書目名稱Big Data: Conceptual Analysis and Applications被引頻次學(xué)科排名




書目名稱Big Data: Conceptual Analysis and Applications年度引用




書目名稱Big Data: Conceptual Analysis and Applications年度引用學(xué)科排名




書目名稱Big Data: Conceptual Analysis and Applications讀者反饋




書目名稱Big Data: Conceptual Analysis and Applications讀者反饋學(xué)科排名





作者: BANAL    時(shí)間: 2025-3-21 22:06

作者: 評(píng)論性    時(shí)間: 2025-3-22 03:35
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
作者: hermetic    時(shí)間: 2025-3-22 07:49
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.
作者: enchant    時(shí)間: 2025-3-22 09:29
Big Data: Conceptual Analysis and Applications978-3-030-14298-8Series ISSN 2197-6503 Series E-ISSN 2197-6511
作者: cumber    時(shí)間: 2025-3-22 15:35
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.
作者: 騙子    時(shí)間: 2025-3-22 20:30
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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作者: Stress    時(shí)間: 2025-3-23 08:41
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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作者: 搏斗    時(shí)間: 2025-3-24 06:20
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.
作者: Macronutrients    時(shí)間: 2025-3-24 08:52

作者: Tinea-Capitis    時(shí)間: 2025-3-24 10:50
Book 2020r 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...?.
作者: 褻瀆    時(shí)間: 2025-3-24 15:30

作者: LINES    時(shí)間: 2025-3-24 23:01

作者: 改良    時(shí)間: 2025-3-25 02:56

作者: lymphoma    時(shí)間: 2025-3-25 04:38
The Cluster Analysis in Big Data Mining,data is distorted by high level of noise, or by outliers. In the Sect.?. robust probabilistic algorithms of fuzzy clustering are considered and investigated for batch processing mode and on-line mode which may be used for clustering in BD bases. Experimental investigations of the considered clusteri
作者: 服從    時(shí)間: 2025-3-25 11:16

作者: Concrete    時(shí)間: 2025-3-25 14:13
Pattern Recognition in Big Data Analysis,raction while FNN NEF Class is used as classifier of breast tumors. The experimental investigations of hybrid CNN network are presented and comparison with conventional CNN was performed. The problem of features dimensionality reduction in classification problem is considered and for its solution PC
作者: 我們的面粉    時(shí)間: 2025-3-25 18:03
Book 2020 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.
作者: 謙虛的人    時(shí)間: 2025-3-25 20:12

作者: Tonometry    時(shí)間: 2025-3-26 03:06
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