|
|
|
|
| LEADER |
02930nam a22005535i 4500 |
| 001 |
978-3-319-17551-5 |
| 003 |
DE-He213 |
| 005 |
20151204143515.0 |
| 007 |
cr nn 008mamaa |
| 008 |
150415s2015 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
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a QA76.9.D343
|
| 072 |
|
7 |
|a UNF
|2 bicssc
|
| 072 |
|
7 |
|a UYQE
|2 bicssc
|
| 072 |
|
7 |
|a COM021030
|2 bisacsh
|
| 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.
|
| 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 Computer science.
|
| 650 |
|
0 |
|a Knowledge management.
|
| 650 |
|
0 |
|a Management information systems.
|
| 650 |
|
0 |
|a Data mining.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Application software.
|
| 650 |
1 |
4 |
|a Computer Science.
|
| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|
| 650 |
2 |
4 |
|a Business Information Systems.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 650 |
2 |
4 |
|a Computer Appl. in Administrative Data Processing.
|
| 650 |
2 |
4 |
|a Knowledge Management.
|
| 700 |
1 |
|
|a Zimányi, Esteban.
|e editor.
|
| 700 |
1 |
|
|a Kutsche, Ralf-Detlef.
|e editor.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319175508
|
| 830 |
|
0 |
|a Lecture Notes in Business Information Processing,
|x 1865-1348 ;
|v 205
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-17551-5
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-SCS
|
| 950 |
|
|
|a Computer Science (Springer-11645)
|
