Peer-to-Peer Query Processing over Multidimensional DataTop-k queries
Peer-to-Peer Query Processing over Multidimensional Data: Top-k queries
Vlachou, Akrivi; Doulkeridis, Christos; Nørvåg, Kjetil; Kotidis, Yannis
2012-03-29 00:00:00
[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.pnghttp://www.deepdyve.com/lp/springer-journals/peer-to-peer-query-processing-over-multidimensional-data-top-k-queries-b6DgWzn0eK
Peer-to-Peer Query Processing over Multidimensional DataTop-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.]
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