1.

Record Nr.

UNINA9910484251403321

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-10160-9

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (XVIII, 490 p. 189 illus.)

Collana

Information Systems and Applications, incl. Internet/Web, and HCI ; ; 8646

Disciplina

005.74

Soggetti

Database management

Data mining

Computer science

Application software

Information storage and retrieval

Database Management

Data Mining and Knowledge Discovery

Computer Science, general

Computer Appl. in Administrative Data Processing

Information Storage and Retrieval

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

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.

Sommario/riassunto

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.