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Efficient answering of set containment queries for skewed item distributions

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dc.contributor.author Terrovitis, M en
dc.contributor.author Bouros, P en
dc.contributor.author Vassiliadis, P en
dc.contributor.author Sellis, T en
dc.contributor.author Mamoulis, N en
dc.date.accessioned 2014-03-01T02:47:20Z
dc.date.available 2014-03-01T02:47:20Z
dc.date.issued 2011 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/33089
dc.subject Containment queries en
dc.subject Inverted files en
dc.subject Ordered inverted files en
dc.subject Set-values en
dc.subject.other Containment query en
dc.subject.other Indexing scheme en
dc.subject.other Inverted files en
dc.subject.other Query processing algorithms en
dc.subject.other Range query en
dc.subject.other Set containment en
dc.subject.other Set-valued attributes en
dc.subject.other Set-values en
dc.subject.other State-of-the-art methods en
dc.subject.other Synthetic data en
dc.subject.other Database systems en
dc.subject.other Technology en
dc.subject.other Information retrieval systems en
dc.title Efficient answering of set containment queries for skewed item distributions en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1951365.1951394 en
heal.identifier.secondary http://dx.doi.org/10.1145/1951365.1951394 en
heal.publicationDate 2011 en
heal.abstract In this paper we address the problem of efficiently evaluating containment (i.e., subset, equality, and superset) queries over set-valued data. We propose a novel indexing scheme, the Ordered Inverted File (OIF) which, differently from the state-of-the-art, indexes set-valued attributes in an ordered fashion. We introduce query processing algorithms that practically treat containment queries as range queries over the ordered postings lists of OIF and exploit this ordering to quickly prune unnecessary page accesses. OIF is simple to implement and our experiments on both real and synthetic data show that it greatly outperforms the current state-of-the-art methods for all three classes of containment queries. en
heal.journalName ACM International Conference Proceeding Series en
dc.identifier.doi 10.1145/1951365.1951394 en
dc.identifier.spage 225 en
dc.identifier.epage 236 en


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