|
|
|
|
LEADER |
03137nam a22005535i 4500 |
001 |
978-3-319-10160-6 |
003 |
DE-He213 |
005 |
20151103123930.0 |
007 |
cr nn 008mamaa |
008 |
140820s2014 gw | s |||| 0|eng d |
020 |
|
|
|a 9783319101606
|9 978-3-319-10160-6
|
024 |
7 |
|
|a 10.1007/978-3-319-10160-6
|2 doi
|
040 |
|
|
|d GrThAP
|
050 |
|
4 |
|a QA76.9.D3
|
072 |
|
7 |
|a UN
|2 bicssc
|
072 |
|
7 |
|a UMT
|2 bicssc
|
072 |
|
7 |
|a COM021000
|2 bisacsh
|
082 |
0 |
4 |
|a 005.74
|2 23
|
245 |
1 |
0 |
|a Data Warehousing and Knowledge Discovery
|h [electronic resource] :
|b 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings /
|c edited by Ladjel Bellatreche, Mukesh K. Mohania.
|
264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
|
300 |
|
|
|a XVIII, 490 p. 189 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 Computer Science,
|x 0302-9743 ;
|v 8646
|
505 |
0 |
|
|a Modeling and ETL -- Ontology-based data warehouses -- Advanced data warehouses and OLAP -- Uncertainty -- Preferences and recommendation -- Query performance and HPC -- Cube & OLAP -- Optimization -- Classification -- Social networks and recommendation systems -- Knowledge data discovery -- Industrial applications -- Mining and processing data stream -- Mining and similarity.
|
520 |
|
|
|a This book constitutes the refereed proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2014 held in Munich, Germany, September 2014, in conjunction with DEXA 2014. The 34 revised full papers and 8 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on modeling and ETL; ontology-based data warehouses; advanced data warehouses and OLAP; uncertainty; preferences and recommendation; query performance and HPC; cube & OLAP; optimization; classification; social networks and recommendation systems; knowledge data discovery; industrial applications; mining and processing data stream; mining and similarity.
|
650 |
|
0 |
|a Computer science.
|
650 |
|
0 |
|a Database management.
|
650 |
|
0 |
|a Data mining.
|
650 |
|
0 |
|a Information storage and retrieval.
|
650 |
|
0 |
|a Application software.
|
650 |
1 |
4 |
|a Computer Science.
|
650 |
2 |
4 |
|a Database Management.
|
650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|
650 |
2 |
4 |
|a Computer Science, general.
|
650 |
2 |
4 |
|a Computer Appl. in Administrative Data Processing.
|
650 |
2 |
4 |
|a Information Storage and Retrieval.
|
700 |
1 |
|
|a Bellatreche, Ladjel.
|e editor.
|
700 |
1 |
|
|a Mohania, Mukesh K.
|e editor.
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319101590
|
830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 8646
|
856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-10160-6
|z Full Text via HEAL-Link
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-LNC
|
950 |
|
|
|a Computer Science (Springer-11645)
|