東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Network science models for data anal...

Chen, Xin W.

Linked to FindBook

Google Book

Amazon

博客來

Network science models for data analytics automation = theories and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Network science models for data analytics automation/ by Xin W. Chen.
Reminder of title:	theories and applications /
Author:	Chen, Xin W.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	vi, 122 p. :ill., digital ;24 cm.
[NT 15003449]:	Network Science Models -- Interdependent Critical Infrastructures -- Public Health -- Smart and Autonomous Power Grid -- Water Distribution Systems -- Transportation Systems.
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-030-96470-2
ISBN:	9783030964702

Network science models for data analytics automation = theories and applications /
Chen, Xin W.

Network science models for data analytics automationtheories and applications /[electronic resource] :by Xin W. Chen. - Cham :Springer International Publishing :2022. - vi, 122 p. :ill., digital ;24 cm. - Automation, collaboration, & e-services,v. 92193-4738 ;. - Automation, collaboration, & e-services ;v. 9..

Network Science Models -- Interdependent Critical Infrastructures -- Public Health -- Smart and Autonomous Power Grid -- Water Distribution Systems -- Transportation Systems.

This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition. Each chapter describes step-by-step processes of how network science enables and automates data analytics through examples. The book not only dissects modeling techniques and analytical results but also explores the intrinsic development of these models and analyses. This unique approach bridges the gap between theory and practice and channels' managerial and problem-solving skills. Engineers, researchers, and managers would benefit from the extensive theoretical background and practical examples discussed in this book. Advanced undergraduate students and graduate students in mathematics, statistics, engineering, business, public health, and social science may use this book as a one-semester textbook or a reference book. Readers who are more interested in applications may skip Chapter 1 and peruse through the rest of the book with ease.

ISBN: 9783030964702

Standard No.: 10.1007/978-3-030-96470-2doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / C44 2022

Dewey Class. No.: 006.312

Network science models for data analytics automation = theories and applications /
LDR:02275nmm a2200337 a 4500 001 2298944
003 DE-He213
005 20220221093306.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030964702 $q (electronic bk.)
020 $a 9783030964696 $q (paper)
024 7 $a 10.1007/978-3-030-96470-2 $2 doi
035 $a 978-3-030-96470-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343 $b C44 2022
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b C518 2022
100 1 $a Chen, Xin W. $3 3595978
245 1 0 $a Network science models for data analytics automation $h [electronic resource] : $b theories and applications / $c by Xin W. Chen.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a vi, 122 p. : $b ill., digital ; $c 24 cm.
490 1 $a Automation, collaboration, & e-services, $x 2193-4738 ; $v v. 9
505 0 $a Network Science Models -- Interdependent Critical Infrastructures -- Public Health -- Smart and Autonomous Power Grid -- Water Distribution Systems -- Transportation Systems.
520 $a This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition. Each chapter describes step-by-step processes of how network science enables and automates data analytics through examples. The book not only dissects modeling techniques and analytical results but also explores the intrinsic development of these models and analyses. This unique approach bridges the gap between theory and practice and channels' managerial and problem-solving skills. Engineers, researchers, and managers would benefit from the extensive theoretical background and practical examples discussed in this book. Advanced undergraduate students and graduate students in mathematics, statistics, engineering, business, public health, and social science may use this book as a one-semester textbook or a reference book. Readers who are more interested in applications may skip Chapter 1 and peruse through the rest of the book with ease.
650 0 $a Data mining. $3 562972
650 0 $a Computer networks. $3 539554
650 0 $a Electronic data processing. $3 520749
650 1 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Automation, collaboration, & e-services ; $v v. 9. $3 3595979
856 4 0 $u https://doi.org/10.1007/978-3-030-96470-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)