國立虎尾科技大學 |

Data Mining and Big Data = Third International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Mining and Big Data/ edited by Ying Tan, Yuhui Shi, Qirong Tang.
Reminder of title:	Third International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings /
other author:	Tan, Ying.
Description:	XVIII, 799 p. 252 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Application software. -
Online resource:	https://doi.org/10.1007/978-3-319-93803-5
ISBN:	9783319938035

Data Mining and Big Data = Third International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings /
Data Mining and Big DataThird International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings /[electronic resource] :edited by Ying Tan, Yuhui Shi, Qirong Tang. - 1st ed. 2018. - XVIII, 799 p. 252 illus.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;10943. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.

database -- data preprocessing -- matrix factorization -- data analysis -- visualization,- visibility analysis -- clustering -- prediction -- classification -- pattern discovery -- text mining and knowledge management -- recommendation system in social media -- deep learning -- big data -- Industry 4.0 -- practical applications.

This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications.

ISBN: 9783319938035

Standard No.: 10.1007/978-3-319-93803-5doiSubjects--Topical Terms:

528147
Application software.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 005.7

Data Mining and Big Data = Third International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings /
LDR:02452nam a22004215i 4500 001 994515
003 DE-He213
005 20200701035703.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319938035 $9 978-3-319-93803-5
024 7 $a 10.1007/978-3-319-93803-5 $2 doi
035 $a 978-3-319-93803-5
050 4 $a QA76.76.A65
072 7 $a UNH $2 bicssc
072 7 $a COM032000 $2 bisacsh
072 7 $a UNH $2 thema
072 7 $a UDBD $2 thema
082 0 4 $a 005.7 $2 23
245 1 0 $a Data Mining and Big Data $h [electronic resource] : $b Third International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings / $c edited by Ying Tan, Yuhui Shi, Qirong Tang.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XVIII, 799 p. 252 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Information Systems and Applications, incl. Internet/Web, and HCI ; $v 10943
505 0 $a database -- data preprocessing -- matrix factorization -- data analysis -- visualization,- visibility analysis -- clustering -- prediction -- classification -- pattern discovery -- text mining and knowledge management -- recommendation system in social media -- deep learning -- big data -- Industry 4.0 -- practical applications.
520 $a This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications.
650 0 $a Application software. $3 528147
650 0 $a Data mining. $3 528622
650 0 $a Information storage and retrieval. $3 1069252
650 0 $a Artificial intelligence. $3 559380
650 0 $a Education—Data processing. $3 1253610
650 1 4 $a Information Systems Applications (incl. Internet). $3 881699
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Information Storage and Retrieval. $3 593926
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computers and Education. $3 669806
700 1 $a Tan, Ying. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 787032
700 1 $a Shi, Yuhui. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 596915
700 1 $a Tang, Qirong. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1205946
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319938028
776 0 8 $i Printed edition: $z 9783319938042
830 0 $a Information Systems and Applications, incl. Internet/Web, and HCI ; $v 9149 $3 1253558
856 4 0 $u https://doi.org/10.1007/978-3-319-93803-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)