1. Shodhganga@INFLIBNET
  2. Rabindranath Tagore University, Bhopal
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/368628
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-03-16T09:19:21Z-
dc.date.available2022-03-16T09:19:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/368628-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Approach to Filter and Manage Unstructured data by Applying data Mining Technique and Artificial Neural Network
dc.title.alternative
dc.creator.researcherRao,Gunisetti Triupathi
dc.subject.keywordArtificial Neural Network
dc.subject.keywordCluster
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordData Mining Technique
dc.subject.keywordEngineering and Technology
dc.subject.keywordText Pattern
dc.subject.keywordUnstructructured Data
dc.description.note
dc.contributor.guideGupta,Rajendra
dc.publisher.placeBhopal
dc.publisher.universityRabindranath Tagore University, Bhopal
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2018
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensionsx,88 page
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title page.pdfAttached File253.02 kBAdobe PDFView/Open
02_certificate.pdf194.8 kBAdobe PDFView/Open
03_preliminary pages .pdf492.09 kBAdobe PDFView/Open
04_chapter 01.pdf240.08 kBAdobe PDFView/Open
05_chapter 02.pdf320.66 kBAdobe PDFView/Open
06_chapter 03.pdf543.6 kBAdobe PDFView/Open
07_chapter 04.pdf266.88 kBAdobe PDFView/Open
08_chapter 05.pdf642.85 kBAdobe PDFView/Open
09_chapter 06.pdf424.32 kBAdobe PDFView/Open
10_chapter 07.pdf625.67 kBAdobe PDFView/Open
11_chapter 08.pdf193.99 kBAdobe PDFView/Open
12_references.pdf226.41 kBAdobe PDFView/Open
13_publication.pdf196.03 kBAdobe PDFView/Open
80_recommendation.pdf373.7 kBAdobe PDFView/Open
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