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GigaTensor: Scaling Tensor Analysis Up By 100 Times - Algorithms and Discoveries

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dc.contributor.authorKang, U-
dc.contributor.authorEvangelos Papalexakis-
dc.contributor.authorAbhay Harpale-
dc.contributor.authorChristos Faloutsos-
dc.date.accessioned2014-12-09-
dc.date.available2014-12-09-
dc.date.created2014-01-13-
dc.date.issued2012-08-15-
dc.identifier.citationACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2012, v., no., pp. --
dc.identifier.urihttp://hdl.handle.net/10203/192216-
dc.languageENG-
dc.publisherACM-
dc.titleGigaTensor: Scaling Tensor Analysis Up By 100 Times - Algorithms and Discoveries-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2012-
dc.identifier.conferencecountryChina-
dc.contributor.localauthorKang, U-
dc.contributor.nonIdAuthorEvangelos Papalexakis-
dc.contributor.nonIdAuthorAbhay Harpale-
dc.contributor.nonIdAuthorChristos Faloutsos-
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CS-Conference Papers(학술회의논문)
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