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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.contributorGoldberg, Mark
dc.contributorZaki, Mohammed J., 1971-
dc.contributorWallace, William A., 1935-
dc.contributor.authorHoonlor, Apirak
dc.date.accessioned2021-11-03T10:14:56Z
dc.date.available2021-11-03T10:14:56Z
dc.date.created2011-09-26T10:50:16Z
dc.date.issued2011-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3372
dc.descriptionAugust 2011
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.titleSequential patterns and temporal patterns for text mining
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid30814
dc.digitool.pid30815
dc.digitool.pid30817
dc.digitool.pid30816
dc.digitool.pid30818
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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