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Peer-to-Peer Query Processing over Multidimensional DataTop-k queries

Peer-to-Peer Query Processing over Multidimensional Data: Top-k queries [Recently there has been an increased interest in database management systems to incorporate and support more flexible query operators, such as top-k, that produce results of specified cardinality, thus avoiding huge and overwhelming result sets. Top-k queries retrieve the objects that best match the user requirements by employing user-specified scoring functions that result in an ordered set of objects containing the best k objects only [30, 75]. In this chapter, efficient processing of top-k queries in peer-to-peer systems is studied. To this end, the applicability of the skyline operator is investigated for efficiently answering top-k queries for a wide class of scoring functions, indicating user-specified preferences, in large P2P networks.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

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Publisher
Springer New York
Copyright
© The Author(s) 2012
ISBN
978-1-4614-2109-2
Pages
63 –72
DOI
10.1007/978-1-4614-2110-8_7
Publisher site
See Chapter on Publisher Site

Abstract

[Recently there has been an increased interest in database management systems to incorporate and support more flexible query operators, such as top-k, that produce results of specified cardinality, thus avoiding huge and overwhelming result sets. Top-k queries retrieve the objects that best match the user requirements by employing user-specified scoring functions that result in an ordered set of objects containing the best k objects only [30, 75]. In this chapter, efficient processing of top-k queries in peer-to-peer systems is studied. To this end, the applicability of the skyline operator is investigated for efficiently answering top-k queries for a wide class of scoring functions, indicating user-specified preferences, in large P2P networks.]

Published: Mar 29, 2012

Keywords: Query Processing; Range Query; Database Management System; Skyline Point; Skyline Operator

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