Introducing SimiLite: Enabling Similarity Retrieval in SQL

dc.contributor.advisor	Hetland, Magnus Lie	nb_NO
dc.contributor.author	Veøy, Kristian	nb_NO
dc.date.accessioned	2014-12-19T13:38:02Z
dc.date.available	2014-12-19T13:38:02Z
dc.date.created	2011-11-04	nb_NO
dc.date.issued	2011	nb_NO
dc.identifier	454081	nb_NO
dc.identifier	ntnudaim:6120	nb_NO
dc.identifier.uri	http://hdl.handle.net/11250/252706
dc.description.abstract	This project has implemented SimiLite, a plug-in to SQLite which en-ables the usage of metric indices in SQL tables. SimiLite can easily beextended with different indices, and the indices LAESA and SSSTreehas been implemented and verified.This project has also implemented a framework for easy comparisonof the indices within SimiLite.It was found that while SimiLite causes a slow-down of about 5-10compared to the reference solution for a light metric, this will balanceout quickly once the cost of the metric increases.	nb_NO
dc.language	eng	nb_NO
dc.publisher	Institutt for datateknikk og informasjonsvitenskap	nb_NO
dc.subject	ntnudaim:6120	no_NO
dc.subject	MTDT datateknikk	no_NO
dc.subject	Komplekse datasystemer	no_NO
dc.title	Introducing SimiLite: Enabling Similarity Retrieval in SQL	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	85	nb_NO
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap	nb_NO