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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorSzymanśki, Bolesław
dc.contributorCarothers, Christopher D.
dc.contributorDas, Sanmay
dc.contributorKar, Koushik
dc.contributorPentland, Alex
dc.contributor.authorGeyik, Sahin Cem
dc.date.accessioned2021-11-03T10:28:43Z
dc.date.available2021-11-03T10:28:43Z
dc.date.created2012-09-19T15:09:30Z
dc.date.issued2012-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3578
dc.descriptionAugust 2012
dc.descriptionSchool of Science
dc.descriptionSocial Cognitive Networks Academic Research Center
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleNetwork data modeling via grammatical structures
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid34968
dc.digitool.pid34969
dc.digitool.pid34971
dc.digitool.pid34970
dc.digitool.pid34972
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 Computer Science


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