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dc.contributor.authorZhang, R
dc.contributor.authorKalnis, P
dc.contributor.authorOoi, BC
dc.contributor.authorTan, KL
dc.date.available2014-05-22T00:18:00Z
dc.date.issued2005-09-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000233084900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationZhang, R., Kalnis, P., Ooi, B. C. & Tan, K. L. (2005). Generalized multidimensional data mapping and query processing. ACM TRANSACTIONS ON DATABASE SYSTEMS, 30 (3), pp.661-697. https://doi.org/10.1145/1093382.1093383.
dc.identifier.issn0362-5915
dc.identifier.urihttp://hdl.handle.net/11343/30085
dc.description.abstractMultidimensional data points can be mapped to one-dimensional space to exploit single dimensional indexing structures such as the B + -tree. In this article we present a Generalized structure for data Mapping and query Processing (GiMP), which supports extensible mapping methods and query processing. GiMP can be easily customized to behave like many competent indexing mechanisms for multi-dimensional indexing, such as the UB-Tree, the Pyramid technique, the iMinMax, and the iDistance. Besides being an extendible indexing structure, GiMP also serves as a framework to study the characteristics of the mapping and hence the efficiency of the indexing scheme. Specifically, we introduce a metric called mapping redundancy to characterize the efficiency of a mapping method in terms of disk page accesses and analyze its behavior for point, range and kNN queries. We also address the fundamental problem of whether an efficient mapping exists and how to define such a mapping for a given data set.
dc.languageEnglish
dc.publisherASSOC COMPUTING MACHINERY
dc.subjectInformation Systems
dc.titleGeneralized multidimensional data mapping and query processing
dc.typeJournal Article
dc.identifier.doi10.1145/1093382.1093383
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleACM Transactions on Database Systems
melbourne.source.volume30
melbourne.source.issue3
melbourne.source.pages661-697
dc.description.pagestart661
melbourne.publicationid80114
melbourne.elementsid290224
melbourne.contributor.authorZhang, Rui
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-24)
dc.identifier.eissn1557-4644
melbourne.accessrightsThis item is currently not available from this repository


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