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  Probabilistic Ranking of Database Query Results

Chaudhuri, S., Das, G., Hristidis, V., & Weikum, G. (2004). Probabilistic Ranking of Database Query Results. In Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB) (pp. 888-899). St. Louis, USA: Morgan Kaufmann.

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 Creators:
Chaudhuri, Surajit, Author
Das, Gautam1, Author           
Hristidis, Vagelis, Author
Weikum, Gerhard2, Author           
Nascimento, Mario A., Editor
Özsu, M. Tamer, Editor
Kossmann, Donald, Editor
Miller, Renee J., Editor
Blakeley, Jose A., Editor
Schiefer, K. Bernhard, Editor
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: We investigate the problem of ranking answers to a database query when many tuples are returned. We adapt and apply principles of probabilistic models from Information Retrieval structured data. Our proposed solution is domain independent. It leverages data and workload statistics and corelations. Our ranking functions can be further customized for different applications. We present results of preliminary experiments which demonstrate the efficiency as well as the quality of our ranking system.

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Language(s): eng - English
 Dates: 2005-06-152004
 Publication Status: Issued
 Pages: -
 Publishing info: St. Louis, USA : Morgan Kaufmann
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231391
Other: Local-ID: C1256DBF005F876D-6A49EE9F04259CF0C1256F80005257A6-ChaudhuriDHW04
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Title: Untitled Event
Place of Event: Toronto, Canada
Start-/End Date: 2004-08-31

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Title: Proceedings 2004 VLDB Conference : The 30th International Conference on Very Large Databases (VLDB)
Source Genre: Proceedings
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Publ. Info: St. Louis, USA : Morgan Kaufmann
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 888 - 899 Identifier: ISBN: 0-12-088469-0