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Periodical
ISSN: 2375026X Year: 1984 Publisher: Silver Spring, MD : IEEE Computer Society Press,
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Book
Year: 1993 Publisher: [Place of publication not identified] IEEE Computer Society Press
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Proceedings of the conference held in Vienna, Austria, April 1993. Papers present current research activities as well as ideas for future directions in data engineering, knowledge engineering, and the synergy of the two.
Periodical
ISSN: 23326476 Publisher: [Los Alamitos, Calif.] : [IEEE Computer Society Press]
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Year: 1996 Publisher: [Place of publication not identified] IEEE Computer Society Press
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Eighty papers and panel discussions are included in the February 1996 proceedings introduced by the conference's keynote challenge of addressing the "Information Superhighway" and the question of whether it will devolve into a tower of Babel or become the communication miracle of the future. The plenary sessions responded to this inquiry, and a variety of other related interests including query and control in multidatabase systems, distributed information systems, object oriented databases, industrial program multimedia, knowledge base systems, and object standards.
Periodical
Year: 1983 Publisher: Silver Spring, Md. : IEEE Computer Society Press,
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Book
Year: 1992 Publisher: [Place of publication not identified] IEEE Computer Society Press
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Software architects, developers, practitioners, and researchers present 27 full papers and 10 poster papers from the February 1992 workshop in Tempe, Arizona. The sections cover concurrent transaction and query processing, query processing and languages, architecture and performance issues, query optimization, and heterogeneous database and transaction issues.
Periodical
Year: 1987 Publisher: [Washington, D.C.?] : The Committee,
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Book
ISBN: 2225754497 9782225754494 Year: 1984 Publisher: Paris: Masson,
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Book
ISBN: 3834882895 Year: 2012 Publisher: Wiesbaden : Vieweg+Teubner Verlag : Imprint: Vieweg+Teubner Verlag,
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Duplikate bzw. Dubletten sind mehrere Datensätze, die das gleiche Realweltobjekt beschreiben, etwa mehrfach erfasste Kunden in einem CRM-System oder unterschiedliche Repräsentationen eines Produkts. Das Auffinden dieser Duplikate ist auch für moderne Computer eine komplexe und zeitintensive Aufgabe. Uwe Draisbach vergleicht zwei der einschlägigen Partitionierungsstrategien, die eine intelligente Auswahl von zu vergleichenden Datensatzpaaren treffen. Daraus entwickelt er ein verallgemeinertes Verfahren und zeigt, dass eine intelligente Auswahl der Datensatzpaare den Aufwand signifikant reduzieren kann, ohne die Qualität der Duplikaterkennung wesentlich zu verringern. Die Arbeit wurde mit dem „Information Quality Best Master Degree Award“ der Deutschen Gesellschaft für Informations- und Datenqualität ausgezeichnet.
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