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postgraduate thesis: Design and analysis of efficient algorithms for finding frequent itemsin a data stream

TitleDesign and analysis of efficient algorithms for finding frequent itemsin a data stream
Authors
Advisors
Advisor(s):Yiu, SM
Issue Date2011
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Zhang, W. [张问]. (2011). Design and analysis of efficient algorithms for finding frequent items in a data stream. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4570259
DegreeMaster of Philosophy
SubjectData mining.
Algorithms.
Dept/ProgramComputer Science
Persistent Identifierhttp://hdl.handle.net/10722/133279
HKU Library Item IDb4570259

 

DC FieldValueLanguage
dc.contributor.advisorYiu, SM-
dc.contributor.authorZhang, Wen-
dc.contributor.author张问-
dc.date.issued2011-
dc.identifier.citationZhang, W. [张问]. (2011). Design and analysis of efficient algorithms for finding frequent items in a data stream. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4570259-
dc.identifier.urihttp://hdl.handle.net/10722/133279-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.source.urihttp://hub.hku.hk/bib/B45702597-
dc.subject.lcshData mining.-
dc.subject.lcshAlgorithms.-
dc.titleDesign and analysis of efficient algorithms for finding frequent itemsin a data stream-
dc.typePG_Thesis-
dc.identifier.hkulb4570259-
dc.description.thesisnameMaster of Philosophy-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineComputer Science-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5353/th_b4570259-
dc.date.hkucongregation2011-
dc.identifier.mmsid991031684929703414-

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