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Data Warehousing and Knowledge Discovery : 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings / edited by Ladjel Bellatreche, Mukesh K. Mohania.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Bellatreche, Ladjel., Editor.
Mohania, Mukesh K., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 8646
Information Systems and Applications, incl. Internet/Web, and HCI ; 8646
Language:
English
Subjects (All):
Database management.
Data mining.
Computer science.
Information technology-Management.
Information storage and retrieval systems.
Database Management.
Data Mining and Knowledge Discovery.
Computer Science.
Computer Application in Administrative Data Processing.
Information Storage and Retrieval.
Local Subjects:
Database Management.
Data Mining and Knowledge Discovery.
Computer Science.
Computer Application in Administrative Data Processing.
Information Storage and Retrieval.
Physical Description:
1 online resource (XVIII, 490 pages) : 189 illustrations
Edition:
1st ed. 2014.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
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 and OLAP; optimization; classification; social networks and recommendation systems; knowledge data discovery; industrial applications; mining and processing data stream; mining and similarity.
Contents:
Modeling and ETL
Ontology-based data warehouses
Advanced data warehouses and OLAP
Uncertainty
Preferences and recommendation
Query performance and HPC
Cube and OLAP
Optimization
Classification
Social networks and recommendation systems
Knowledge data discovery
Industrial applications
Mining and processing data stream
Mining and similarity.
Other Format:
Printed edition:
ISBN:
978-3-319-10160-6
9783319101606
Access Restriction:
Restricted for use by site license.

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