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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.contributorZaki, Mohammed J., 1971-
dc.contributorBystroff, Christopher, 1960-
dc.contributorMusser, David R.
dc.contributorKrishnamoorthy, M. S.
dc.contributorMagdon-Ismail, Malik
dc.contributor.authorZhao, Lizhuang
dc.date.accessioned2021-11-03T10:42:48Z
dc.date.available2021-11-03T10:42:48Z
dc.date.created2007-06-04T20:05:48Z
dc.date.issued2006-12
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3803
dc.descriptionDecember 2006
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleMining subspace and boolean patterns from data
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid6085
dc.digitool.pid6086
dc.digitool.pid6088
dc.digitool.pid6087
dc.digitool.pid6089
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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