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Data analysis and optimizationin honor of Boris Mirkin's 80th birthday /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data analysis and optimizationedited by Boris Goldengorin, Sergei Kuznetsov.
其他題名:	in honor of Boris Mirkin's 80th birthday /
其他作者:	Mirkin, B. G.,
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	xxxv, 422 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization.
電子資源:	https://doi.org/10.1007/978-3-031-31654-8
ISBN:	9783031316548$q(electronic bk.)

Data analysis and optimizationin honor of Boris Mirkin's 80th birthday /
Data analysis and optimizationin honor of Boris Mirkin's 80th birthday /[electronic resource] :edited by Boris Goldengorin, Sergei Kuznetsov. - Cham :Springer Nature Switzerland :2023. - xxxv, 422 p. :ill., digital ;24 cm. - Springer optimization and its applications,v. 2021931-6836 ;. - Springer optimization and its applications ;v. 3..

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 concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.

ISBN: 9783031316548$q(electronic bk.)

Standard No.: 10.1007/978-3-031-31654-8doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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