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dc.contributor.advisorBratsberg, Svein Eriknb_NO
dc.contributor.authorErlandsen, Stiannb_NO
dc.date.accessioned2014-12-19T13:37:02Z
dc.date.available2014-12-19T13:37:02Z
dc.date.created2011-05-06nb_NO
dc.date.issued2011nb_NO
dc.identifier415386nb_NO
dc.identifierntnudaim:4253nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/252388
dc.description.abstractSimilarity search is very useful in many applications. Because of the complex-ity and expensive nature of such search operations, many existing methods re-quire special access methods and cannot be directly integrated with commercialDBMSs(Database Management Systems). NTNUStore is a framework to aid re-search in this eld and focuses on disk-based metric indexing to keep it compatiblewith commercial DBMSs.This project has implemented and experimented with a version of the LAESA(Linear Approximating and Eliminating Search Algorithm) in NTNUStore. Theresults are close to what was represented in Erik Bagge Ottesen's master thesis. The biggest contribution in this project is that the new algorithm solves KNNsearch without the need of providing a range parameter in the query.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaim:4253no_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectData- og informasjonsforvaltningno_NO
dc.titleMetric indexing by database techniquesnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber68nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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