1. Shodhganga@INFLIBNET
  2. Bharathidasan University
  3. Department of Computer Science and Applications
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/466749
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-03-07T08:18:16Z-
dc.date.available2023-03-07T08:18:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/466749-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMulti Document Text Summarization Techniques For Big Data
dc.title.alternative
dc.creator.researcherANISH MATHEW KURIAKOSE
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideUMADEVI V
dc.publisher.placeTiruchirappalli
dc.publisher.universityBharathidasan University
dc.publisher.institutionDepartment of Computer Science and Applications
dc.date.registered2017
dc.date.completed2020
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Applications

Files in This Item:
File Description SizeFormat 
10. annex.pdfAttached File65.91 kBAdobe PDFView/Open
1. tit.pdf869.79 kBAdobe PDFView/Open
2. pre.pdf183.67 kBAdobe PDFView/Open
3. con.pdf24.25 kBAdobe PDFView/Open
4. abs.pdf18.03 kBAdobe PDFView/Open
5. cha 1.pdf3.34 MBAdobe PDFView/Open
6. cha 2.pdf119.67 kBAdobe PDFView/Open
7. cha 3.pdf480.43 kBAdobe PDFView/Open
80_recommendation.pdf52.95 kBAdobe PDFView/Open
8. cha 4.pdf392.67 kBAdobe PDFView/Open
9. conclusion.pdf52.95 kBAdobe PDFView/Open
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