國立虎尾科技大學 |

Business Intelligence = 4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Business Intelligence/ edited by Esteban Zimányi, Ralf-Detlef Kutsche.
其他題名:	4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures /
其他作者:	Zimányi, Esteban.
面頁冊數:	IX, 149 p. 59 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-319-17551-5
ISBN:	9783319175515

Business Intelligence = 4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures /
Business Intelligence4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures /[electronic resource] :edited by Esteban Zimányi, Ralf-Detlef Kutsche. - 1st ed. 2015. - IX, 149 p. 59 illus.online resource. - Lecture Notes in Business Information Processing,2051865-1348 ;. - Lecture Notes in Business Information Processing,206.

On the Complexity of Requirements Engineering for Decision-Support Systems: The CID Case Study -- Multi-perspective Analysis of Mobile Phone Call Data Records: A Visual Analytics Approach -- From the Web of Documents to the Linked Data -- A Survey on Supervised Classification on Data Streams -- Knowledge Reuse: Survey of Existing Techniques and Classification Approach.

This book constitutes the tutorial lectures of the 4th European Business Intelligence Summer School, eBISS 2014, held in Berlin, Germany, in July 2014. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including requirements engineering for decision-support systems, visual analytics of large data sets, linked data and semantic technologies, supervised classification on data streams, and knowledge reuse in large organizations.

ISBN: 9783319175515

Standard No.: 10.1007/978-3-319-17551-5doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Business Intelligence = 4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures /
LDR:02370nam a22004215i 4500 001 965463
003 DE-He213
005 20200705143609.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319175515 $9 978-3-319-17551-5
024 7 $a 10.1007/978-3-319-17551-5 $2 doi
035 $a 978-3-319-17551-5
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.312 $2 23
245 1 0 $a Business Intelligence $h [electronic resource] : $b 4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures / $c edited by Esteban Zimányi, Ralf-Detlef Kutsche.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a IX, 149 p. 59 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 205
505 0 $a On the Complexity of Requirements Engineering for Decision-Support Systems: The CID Case Study -- Multi-perspective Analysis of Mobile Phone Call Data Records: A Visual Analytics Approach -- From the Web of Documents to the Linked Data -- A Survey on Supervised Classification on Data Streams -- Knowledge Reuse: Survey of Existing Techniques and Classification Approach.
520 $a This book constitutes the tutorial lectures of the 4th European Business Intelligence Summer School, eBISS 2014, held in Berlin, Germany, in July 2014. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including requirements engineering for decision-support systems, visual analytics of large data sets, linked data and semantic technologies, supervised classification on data streams, and knowledge reuse in large organizations.
650 0 $a Data mining. $3 528622
650 0 $a Management information systems. $3 561123
650 0 $a Artificial intelligence. $3 559380
650 0 $a Application software. $3 528147
650 0 $a Knowledge management. $3 558406
650 1 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Business Information Systems. $3 669204
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 669633
650 2 4 $a Knowledge Management. $3 679530
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
700 1 $a Kutsche, Ralf-Detlef. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 680380
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319175522
776 0 8 $i Printed edition: $z 9783319175508
830 0 $a Lecture Notes in Business Information Processing, $x 1865-1348 ; $v 206 $3 1253615
856 4 0 $u https://doi.org/10.1007/978-3-319-17551-5
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)