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dc.contributor.authorDell, Robert F.
dc.contributor.authorRomán, Pablo E.
dc.contributor.authorVelásquez, Juan D.
dc.date.accessioned2016-06-03T15:48:31Z
dc.date.available2016-06-03T15:48:31Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/10945/48833
dc.description.abstractAn important input for web usage mining is web user sessions that must be reconstructed from web logs (sessionization) when such sessions are not otherwise identified. We present a novel approach for sessionization based on an in- teger program. We compare results of our approach with the timeout heuristic on web logs from an academic web site. We find our integer program provides sessions that better match an expected empirical distribution with about half of the standard error of the heuristic.en_US
dc.description.sponsorshipThis work has been partially supported by the National Doctoral Grant from Conicyt Chile and by the Chilean Millennium Scientific Institute of Complex Engineering Systems.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleWeb User Session Reconstruction Using Integer Programmingen_US
dc.contributor.departmentOperations Researchen_US


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