國立虎尾科技大學 |

Business Intelligence and Big Data = 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Business Intelligence and Big Data/ edited by Esteban Zimányi.
Reminder of title:	7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures /
other author:	Zimányi, Esteban.
Description:	XI, 155 p. 45 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Information storage and retrieval. -
Online resource:	https://doi.org/10.1007/978-3-319-96655-7
ISBN:	9783319966557

Business Intelligence and Big Data = 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures /
Business Intelligence and Big Data7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures /[electronic resource] :edited by Esteban Zimányi. - 1st ed. 2018. - XI, 155 p. 45 illus.online resource. - Lecture Notes in Business Information Processing,3241865-1348 ;. - Lecture Notes in Business Information Processing,206.

An Introduction to Data Profiling -- Programmatic ETL -- Temporal Data Management - An Overview -- Historical Graphs: Models, Storage, Processing -- Three Big Data Tools for a Data Scientist's Toolbox -- Let's open the black box of deep learning.

This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging business intelligence applications. .

ISBN: 9783319966557

Standard No.: 10.1007/978-3-319-96655-7doiSubjects--Topical Terms:

1069252
Information storage and retrieval.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 025.04

Business Intelligence and Big Data = 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures /
LDR:02304nam a22004215i 4500 001 998628
003 DE-He213
005 20200705233259.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319966557 $9 978-3-319-96655-7
024 7 $a 10.1007/978-3-319-96655-7 $2 doi
035 $a 978-3-319-96655-7
050 4 $a QA75.5-76.95
072 7 $a UNH $2 bicssc
072 7 $a COM030000 $2 bisacsh
072 7 $a UNH $2 thema
072 7 $a UND $2 thema
082 0 4 $a 025.04 $2 23
245 1 0 $a Business Intelligence and Big Data $h [electronic resource] : $b 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures / $c edited by Esteban Zimányi.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XI, 155 p. 45 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 Lecture Notes in Business Information Processing, $x 1865-1348 ; $v 324
505 0 $a An Introduction to Data Profiling -- Programmatic ETL -- Temporal Data Management - An Overview -- Historical Graphs: Models, Storage, Processing -- Three Big Data Tools for a Data Scientist's Toolbox -- Let's open the black box of deep learning.
520 $a This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging business intelligence applications. .
650 0 $a Information storage and retrieval. $3 1069252
650 0 $a Big data. $3 981821
650 0 $a Artificial intelligence. $3 559380
650 0 $a Application software. $3 528147
650 0 $a Data mining. $3 528622
650 1 4 $a Information Storage and Retrieval. $3 593926
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 669633
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
700 1 $a Zimányi, Esteban. $e editor. $1 https://orcid.org/0000-0003-1843-5099 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1261064
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319966540
776 0 8 $i Printed edition: $z 9783319966564
830 0 $a Lecture Notes in Business Information Processing, $x 1865-1348 ; $v 206 $3 1253615
856 4 0 $u https://doi.org/10.1007/978-3-319-96655-7
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNB
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)