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/10603/371088
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-03-31T06:04:26Z-
dc.date.available2022-03-31T06:04:26Z-
dc.identifier.urihttp://hdl.handle.net/10603/371088-
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 Artificial Intelligence
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

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File169.83 kBAdobe PDFView/Open
02_certificate.pdf232.59 kBAdobe PDFView/Open
03_preliminary pages.pdf560.88 kBAdobe PDFView/Open
04_chapter-1.pdf480.2 kBAdobe PDFView/Open
05_chapter-2.pdf1.39 MBAdobe PDFView/Open
06_chapter-3.pdf616.56 kBAdobe PDFView/Open
07_chapter-4.pdf604.1 kBAdobe PDFView/Open
08_chapter-5.pdf703.2 kBAdobe PDFView/Open
09_chapter-6.pdf274.91 kBAdobe PDFView/Open
10_bibliography.pdf542.73 kBAdobe PDFView/Open
80_recommendation.pdf444.35 kBAdobe PDFView/Open
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