| Document Date: 2004-08-04 04:00:19
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City Seattle / Boston / New York / Philadelphia / Integrated Knowledge / Cambridge / / Company MI List / MIT Press / Air Force Research Laboratory / Morgan Kaufmann Publishers Inc. / Group Finder / John Wiley & Sons / / Country United States / / Currency pence / USD / / / Event Product Issues / Product Recall / / Facility USC Information Sciences Institute / / IndustryTerm data mining techniques / appropriate tools / induced bayesian networks / data mining / generic algorithm / finance / community finding algorithm / inference algorithms / conventional data mining / information technology / social networks / law enforcement / given / / Movie D. V / / MusicGroup MI / / Organization USC Information Sciences Institute / MIT / Cambridge Univ. / Clayton T. Morrison Center for Research / Society for Industrial and Applied / / Person Xi / Eric Melz / Andre Valente / Hans Chalupsky / Paul R. Cohen / H. Chalupsky / V / / / Position one of the seed members / representative / / Product b2 / In the equation / M-16 / Avg. Precision / Group Finder module / / ProvinceOrState Southern California / New York / Washington / Michigan / / PublishedMedium the MI module B times / / Region Southern California / / Technology inference algorithms / LD algorithm / groupfinding algorithm / information technology / LD algorithms / generic algorithm / machine learning / developing information technology / LD technology / artificial intelligence / data mining / simulation / /
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Measuring Confidence Intervals in Link Discovery: A Bootstrap Approach Jafar Adibi, Paul R. Cohen and Clayton T. Morrison Center for Research on Unexpected Events (CRUE) USC Information Sciences Institute 4676 Admiralty