Data Warehousing and Knowledge Discovery: 14th International Conference, DaWaK 2012, Vienna, Austria, September 3-6, 2012. Proceedings

Gespeichert in:

Personen und Körperschaften:	Cuzzocrea, Alfredo (VerfasserIn), Dayal, Umeshwar (Sonstige)
Titel:	Data Warehousing and Knowledge Discovery: 14th International Conference, DaWaK 2012, Vienna, Austria, September 3-6, 2012. Proceedings/ edited by Alfredo Cuzzocrea, Umeshwar Dayal
Format:	E-Book Konferenzbericht
Sprache:	Englisch
veröffentlicht:	Berlin, Heidelberg Springer 2012
Gesamtaufnahme:	SpringerLink Lecture notes in computer science ; 7448
Schlagwörter:	Computer science Information systems Computer Science Database management Data mining Information storage and retrieval systems Application software. Information technology User interfaces (Computer systems). Human-computer interaction. Konferenzschrift > 2012 > Wien
Buchausg. u.d.T.:	Data warehousing and knowledge discovery, Berlin : Springer, 2012, XIV, 460 S.
Quelle:	Verbunddaten SWB
Zugangsinformationen:	Elektronischer Volltext - Campuslizenz

Details
Zusammenfassung:	Data Warehouse Design Methodologies -- ETL Methodologies and Tools -- Multidimensional Data Processing and Management -- Data Warehouse and OLAP Extensions -- Data Warehouse Performance and Optimization -- Data-Mining and Knowledge-Discovery Techniques -- Data-Mining and Knowledge-Discovery Applications -- Pattern Mining -- Data Stream Mining -- Data Warehouse Confidentiality and Security -- Distributed Paradigms and Algorithms. This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies, ETL methodologies and tools, multidimensional data processing and management, data warehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms.
Beschreibung:	Literaturangaben
Umfang:	Online-Ressource (XIII, 454 p. 198 illus, digital)
ISBN:	9783642325847
DOI:	10.1007/978-3-642-32584-7