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dc.contributor.authorDaigle, Alexandre
dc.date.accessioned2016-05-16 19:24:02 (GMT)
dc.date.available2016-05-16 19:24:02 (GMT)
dc.date.issued2016-05-16
dc.date.submitted2016-05-11
dc.identifier.urihttp://hdl.handle.net/10012/10491
dc.description.abstractIn this thesis, we consider the path-decomposition representation of prefix trees. We show that given query probabilities for every word in the prefix tree, the heavy-path strategy produces the optimal trie with respect to the number of node accesses. We show how to implement the heavy-path strategy in O(N) time for a trie containing n words with total length N. To prove this result, we show a complete characterization of the choices made by the optimal decomposition strategy. Using this characterization, we describe how to efficiently support dynamic operations on the path-decomposed trie while preserving the optimality in O(sigma * |w|) time for an alphabet size of sigma and a word length of |w|. We also give entropy-based bounds of the node accesses per query for their respective probabilities. Finally, we show theoretical and experimental results on the performance of heavy-path versus max-score, another popular path-decomposition strategy.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectAuto-completionen
dc.subjectPath-Decomposed Trieen
dc.subjectOptimalen
dc.subjectData Structureen
dc.subjectPrefix Treeen
dc.subjectHeavy-Pathen
dc.titleOptimal Path-Decomposition of Triesen
dc.typeMaster Thesisen
dc.pendingfalse
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.degreeMaster of Mathematicsen
uws.comment.hiddenPlease advise for comments before the end of the week. Friday May 20th is the 100% fee refund date for the Spring term. Thank you very much.en
uws.contributor.advisorMunro, J. Ian
uws.contributor.advisorLópez-Ortiz, Alejandro
uws.contributor.affiliation1Faculty of Mathematicsen
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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