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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Research Libraries.
dc.contributorGoldberg, Mark
dc.contributorMagdon-Ismail, Malik
dc.contributorWallace, William A., 1935-
dc.contributorZaki, Mohammed J., 1971-
dc.contributor.authorBaumes, Jeffrey T.
dc.date.accessioned2021-11-03T10:42:51Z
dc.date.available2021-11-03T10:42:51Z
dc.date.created2007-06-05T14:59:43Z
dc.date.issued2006-12
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3804
dc.descriptionDecember 2006
dc.descriptionSchool of Humanities, Arts, and Social Sciences
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectCognitive science
dc.titleAlgorithms for discovering hidden groups in communications
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid6090
dc.digitool.pid6091
dc.digitool.pid6093
dc.digitool.pid6092
dc.digitool.pid6094
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Cognitive Science


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