1. Shodhganga@INFLIBNET
  2. Maulana Azad National Institute of Technology Bhopal
  3. Computer science and engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/366654
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-03-04T10:33:00Z-
dc.date.available2022-03-04T10:33:00Z-
dc.identifier.urihttp://hdl.handle.net/10603/366654-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMaximal Frequent Itemsets and Wordnet based Algorithms for text documents clustering
dc.title.alternative
dc.creator.researcherPatil, Harsha
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideThakur, R S
dc.publisher.placeBhopal
dc.publisher.universityMaulana Azad National Institute of Technology Bhopal
dc.publisher.institutionComputer science and engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer science and engineering

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10.references.pdfAttached File677.57 kBAdobe PDFView/Open
1.title.pdf79.35 kBAdobe PDFView/Open
2.certificate.pdf96.74 kBAdobe PDFView/Open
3.priliminary pages.pdf845.49 kBAdobe PDFView/Open
4.chapter 1.pdf1.46 MBAdobe PDFView/Open
5.chapter 2.pdf1.86 MBAdobe PDFView/Open
6.chapter 3.pdf842.04 kBAdobe PDFView/Open
7.chapter 4.pdf743.88 kBAdobe PDFView/Open
80_recommendation.pdf397.46 kBAdobe PDFView/Open
8.chapter 5.pdf1.08 MBAdobe PDFView/Open
9.chapter 6.pdf319.53 kBAdobe PDFView/Open
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