Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/330957
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dc.coverage.spatial
dc.date.accessioned2021-07-09T05:37:37Z-
dc.date.available2021-07-09T05:37:37Z-
dc.identifier.urihttp://hdl.handle.net/10603/330957-
dc.description.abstractIncluded
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlequotA novel approach to detect outliers in high dimensional data quot
dc.title.alternative
dc.creator.researcherKaur, Kamaljeet
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.noteBibliography p. 180-192
dc.contributor.guideGarg, Atul
dc.publisher.placeMullana- Ambala
dc.publisher.universityMaharishi Markandeshwar University, Mullana
dc.publisher.institutionDepartment of Computer Science and Applications
dc.date.registered2014
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Applications

Files in This Item:
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01_title.pdfAttached File136.86 kBAdobe PDFView/Open
02_certificate.pdf69.73 kBAdobe PDFView/Open
03_abstract.pdf19.96 kBAdobe PDFView/Open
04_preliminary_pages.pdf219.12 kBAdobe PDFView/Open
05_chapter1.pdf499.47 kBAdobe PDFView/Open
06_chapter2.pdf161.89 kBAdobe PDFView/Open
07_chapter3.pdf70.63 kBAdobe PDFView/Open
08_chapter4.pdf1.85 MBAdobe PDFView/Open
09_chapter5.pdf2.48 MBAdobe PDFView/Open
10_conclusion.pdf87.8 kBAdobe PDFView/Open
11_bibliography.pdf137.71 kBAdobe PDFView/Open
12_summary.pdf790.03 kBAdobe PDFView/Open
80_recommendation.pdf240.21 kBAdobe PDFView/Open


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