國立高雄大學圖資館 |

Language: English

Back

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data analysis and optimizationedited by Boris Goldengorin, Sergei Kuznetsov.
Reminder of title:	in honor of Boris Mirkin's 80th birthday /
other author:	Mirkin, B. G.,
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xxxv, 422 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization.
Online resource:	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

Data analysis and optimizationin honor of Boris Mirkin's 80th birthday /
LDR:02719nmm a2200349 a 4500 001 651481
003 DE-He213
005 20230923200747.0
006 m d
007 cr nn 008maaau
008 240327s2023 sz s 0 eng d
020 $a 9783031316548$q(electronic bk.)
020 $a 9783031316531$q(paper)
024 7 $a 10.1007/978-3-031-31654-8 $2 doi
035 $a 978-3-031-31654-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .D232 2023
245 0 0 $a Data analysis and optimization $h [electronic resource] : $b in honor of Boris Mirkin's 80th birthday / $c edited by Boris Goldengorin, Sergei Kuznetsov.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xxxv, 422 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6836 ; $v v. 202
520 $a 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.
650 0 $a Mathematical optimization. $3 183292
650 1 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Operations Research, Management Science. $3 511451
650 2 4 $a Discrete Mathematics. $3 524738
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Mirkin, B. G., $e honouree. $3 961718
700 1 $a Goldengorin, Boris. $3 585198
700 1 $a Kuznetsov, Sergei. $3 961719
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer optimization and its applications ; $v v. 3. $3 440366
856 4 0 $u https://doi.org/10.1007/978-3-031-31654-8
950 $a Mathematics and Statistics (SpringerNature-11649)