| 书目名称 | Data Analysis and Optimization | | 副标题 | In Honor of Boris Mi | | 编辑 | Boris Goldengorin,Sergei Kuznetsov | | 视频video | | | 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 | | 丛书名称 | Springer Optimization and Its Applications | | 图书封面 |  | | 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 | | 关键词 | data mining; consensus trees; super trees; predictability time series; business intelligence | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-31654-8 | | isbn_softcover | 978-3-031-31656-2 | | isbn_ebook | 978-3-031-31654-8Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:23:32
