Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/293452
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DC FieldValueLanguage
dc.coverage.spatialComputer Science and Engineering
dc.date.accessioned2020-08-05T05:46:08Z-
dc.date.available2020-08-05T05:46:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/293452-
dc.description.abstractquotAvailablequot newline
dc.format.extent157 p.
dc.languageEnglish
dc.relationno. of references 148
dc.rightsuniversity
dc.titleDevising efficient technique for web structure mining through artificial immune system
dc.title.alternative-
dc.creator.researcherVerma, Karunendra
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.subject.keywordWeb Structure
dc.description.notereferences p. 135-150, appendix p.151-157.
dc.contributor.guideSrivastava, Prateek
dc.publisher.placeUdaipur
dc.publisher.universitySir Padampat Singhania University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered16-9-2015
dc.date.completed2019
dc.date.awarded-
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File4.87 MBAdobe PDFView/Open
02_certificate.pdf4.87 MBAdobe PDFView/Open
03_declaration.pdf4.87 MBAdobe PDFView/Open
04_acknowledgements.pdf4.87 MBAdobe PDFView/Open
05_list of publications.pdf4.87 MBAdobe PDFView/Open
06_contents.pdf4.87 MBAdobe PDFView/Open
07_list of figures.pdf4.87 MBAdobe PDFView/Open
08_list of tables.pdf4.87 MBAdobe PDFView/Open
09_abbreviations.pdf4.87 MBAdobe PDFView/Open
10_abstract.pdf4.87 MBAdobe PDFView/Open
11_chapter 1.pdf4.88 MBAdobe PDFView/Open
12_chapter 2.pdf4.87 MBAdobe PDFView/Open
13_chapter 3.pdf4.87 MBAdobe PDFView/Open
14_chapter 4.pdf4.88 MBAdobe PDFView/Open
15_conclusion and future prospectives.pdf4.87 MBAdobe PDFView/Open
16_references.pdf4.87 MBAdobe PDFView/Open
17_appendix.pdf4.87 MBAdobe PDFView/Open
80_recommendation.pdf9.73 MBAdobe PDFView/Open


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