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

Data science and big data analytics ...

ACM-WIR (Workshop) ((2018 :)

Linked to FindBook

Google Book

Amazon

博客來

Data science and big data analytics = ACM-WIR 2018 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science and big data analytics/ edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal.
Reminder of title:	ACM-WIR 2018 /
remainder title:	ACM-WIR 2018
other author:	Mishra, Durgesh Kumar.
corporate name:	ACM-WIR (Workshop)
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xxiv, 406 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big data - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-7641-1
ISBN:	9789811076411

Data science and big data analytics = ACM-WIR 2018 /
Data science and big data analyticsACM-WIR 2018 /[electronic resource] :ACM-WIR 2018edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal. - Singapore :Springer Singapore :2019. - xxiv, 406 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.162367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.16..

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

ISBN: 9789811076411

Standard No.: 10.1007/978-981-10-7641-1doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Data science and big data analytics = ACM-WIR 2018 /
LDR:01740nmm a2200325 a 4500 001 2176597
003 DE-He213
005 20180801151152.0
006 m d
007 cr nn 008maaau
008 191121s2019 si s 0 eng d
020 $a 9789811076411 $q (electronic bk.)
020 $a 9789811076404 $q (paper)
024 7 $a 10.1007/978-981-10-7641-1 $2 doi
035 $a 978-981-10-7641-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b A184 2018
111 2 $a ACM-WIR (Workshop) $d (2018 : $c Indore, India) $3 3378837
245 1 0 $a Data science and big data analytics $h [electronic resource] : $b ACM-WIR 2018 / $c edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal.
246 3 $a ACM-WIR 2018
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xxiv, 406 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes on data engineering and communications technologies, $x 2367-4512 ; $v v.16
520 $a This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Data mining $v Congresses. $3 551626
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Systems and Data Security. $3 898223
700 1 $a Mishra, Durgesh Kumar. $3 3297610
700 1 $a Yang, Xin-She. $3 906652
700 1 $a Unal, Aynur. $3 3205917
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes on data engineering and communications technologies ; $v v.16. $3 3378838
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-7641-1
950 $a Engineering (Springer-11647)