Ad-hoc Holistic Ranking Aggregation

dc.contributor.authorSaleeb, Mina
dc.date.accessioned2012-12-06T18:38:03Z
dc.date.available2012-12-06T18:38:03Z
dc.date.issued2012-12-06T18:38:03Z
dc.date.submitted2012
dc.description.abstractData exploration is considered one of the major processes that enables the user to analyze massive amount of data in order to find the most important and relevant informa- tion needed. Aggregation and Ranking are two of the most frequently used tools in data exploration. The interaction between ranking and aggregation has been studied widely from different perspectives. In this thesis, a comprehensive survey about this interaction is studied. Holistic Ranking Aggregation which is a new interaction is introduced. Finally, various algorithms are proposed to efficiently process ad-hoc holistic ranking aggregation for both monotone and generic scoring functions.en
dc.identifier.urihttp://hdl.handle.net/10012/7141
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.subjectRankingen
dc.subjectAggregationen
dc.subject.programComputer Scienceen
dc.titleAd-hoc Holistic Ranking Aggregationen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Mathematicsen
uws-etd.degree.departmentSchool of Computer Scienceen
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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