Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/264437
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dc.coverage.spatial
dc.date.accessioned2019-12-26T06:04:22Z-
dc.date.available2019-12-26T06:04:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/264437-
dc.description.abstractThe complete abstract is available in the abstract Part newline
dc.format.extentI-XII,1-132
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleThe Novel Implementation of Effective Scalable and Distributable Mapreduce Approaches in Computational Analysis of Big Data
dc.title.alternative
dc.creator.researcherGiddaluru SomaSekhar
dc.subject.keywordBig Data Analysis
dc.subject.keywordEngineering and Technology,Computer Science,Computer Science Interdisciplinary Applications
dc.description.note
dc.contributor.guideKarthikeyan .K
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered14/07/2014
dc.date.completed2019
dc.date.awarded10/09/2019
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File253.05 kBAdobe PDFView/Open
02_signed copy of declaration,certificate.pdf289.12 kBAdobe PDFView/Open
03_abstract.pdf175.91 kBAdobe PDFView/Open
04_table of contents.pdf215.44 kBAdobe PDFView/Open
05_list of tables.pdf180.87 kBAdobe PDFView/Open
06_list of figures.pdf0 BAdobe PDFView/Open
07_list of figures.pdf207.99 kBAdobe PDFView/Open
08_acknowledgement.pdf193.44 kBAdobe PDFView/Open
09_chapter 1.pdf722.24 kBAdobe PDFView/Open
10_chapter 2.pdf474.88 kBAdobe PDFView/Open
11_chapter 3.pdf1.32 MBAdobe PDFView/Open
12_chapter 4.pdf3.72 MBAdobe PDFView/Open
13_chapter 5.pdf1.67 MBAdobe PDFView/Open
14_chapter 6.pdf2.1 MBAdobe PDFView/Open
15_chapter 7.pdf2.78 MBAdobe PDFView/Open
16_references.pdf341.79 kBAdobe PDFView/Open
17_list of publications.pdf270.33 kBAdobe PDFView/Open


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