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Titlebook: Data Analysis and Optimization; In Honor of Boris Mi Boris Goldengorin,Sergei Kuznetsov Book 2023 The Editor(s) (if applicable) and The Aut

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發(fā)表于 2025-3-21 17:23:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Analysis and Optimization
副標(biāo)題In Honor of Boris Mi
編輯Boris Goldengorin,Sergei Kuznetsov
視頻videohttp://file.papertrans.cn/263/262653/262653.mp4
概述Presents new models and algorithms for knowledge discovery.Provides readers with new tools for developing practical algorithms for solving problems in data analysis.Addresses difficult questions in da
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Data Analysis and Optimization; In Honor of Boris Mi Boris Goldengorin,Sergei Kuznetsov Book 2023 The Editor(s) (if applicable) and The Aut
描述.This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics..The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. ..The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel co
出版日期Book 2023
關(guān)鍵詞data mining; consensus trees; super trees; predictability time series; business intelligence
版次1
doihttps://doi.org/10.1007/978-3-031-31654-8
isbn_softcover978-3-031-31656-2
isbn_ebook978-3-031-31654-8Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Data Analysis and Optimization影響因子(影響力)




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About Some Clustering Algorithms in Evidence Theory,computational complexity of processing algorithms, revealing the structure of the set of focal elements, etc. The article discusses some existing algorithms for clustering evidence bodies and suggests some new algorithms and approaches in such clustering.
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Controllability of Triangular Systems with Phase Space Change, changed with the help of some given mapping, and the docking of trajectories is also connected with it. The conditions of controllability of this system from the initial set of one space to the finite set of another space are obtained in the paper. An approach to finding trajectories for this motion is proposed.
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The Organization of the Early Churchh the feasibility before applying it to complex instances like aerial landscape images. The proposed method is based on the exploitation of the ., polynomial degree, and . properties of penalty-based pseudo-Boolean polynomials.
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Martin Sebaldt,Gerhard Hopp,Benjamin Zeitlerndominated with respect to the defined preference relation, and investigate their properties. Such mean values turn out to be multi-valued. We further explore the relationship between the new notions of mean values with their conventional definitions and suggest computational approaches to the calculation of the suggested new means.
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