Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/284745
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2020-03-24T07:43:08Z-
dc.date.available2020-03-24T07:43:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/284745-
dc.description.abstractnewline
dc.format.extentxviii, 157 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn efficient frequent Web page patterns mining framework
dc.title.alternative
dc.creator.researcherGandhimathi, D
dc.subject.keywordPhysical Sciences,Multidisciplinary,Multidisciplinary Sciences
dc.description.noteReference p. 158-171, Publications p. 172-174
dc.contributor.guideAnbazhagan, N
dc.publisher.placeKaraikudi
dc.publisher.universityAlagappa University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered03/02/2014
dc.date.completed29/01/2018
dc.date.awarded24/09/2019
dc.format.dimensions
dc.format.accompanyingmaterialDVD
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 File78.53 kBAdobe PDFView/Open
02_declaration.pdf54.09 kBAdobe PDFView/Open
03_certificate.pdf56.81 kBAdobe PDFView/Open
04_acknowledgement.pdf80.1 kBAdobe PDFView/Open
05_abstract.pdf84.36 kBAdobe PDFView/Open
06_contents.pdf130.96 kBAdobe PDFView/Open
07_list of abbreviations.pdf57.75 kBAdobe PDFView/Open
08_list of tables.pdf73.2 kBAdobe PDFView/Open
09_list of figures.pdf71.35 kBAdobe PDFView/Open
10_chapter 1.pdf266.53 kBAdobe PDFView/Open
11_chapter 2.pdf305.03 kBAdobe PDFView/Open
12_chapter 3.pdf1.11 MBAdobe PDFView/Open
13_chapter 4.pdf507.4 kBAdobe PDFView/Open
14_chapter 5.pdf843.13 kBAdobe PDFView/Open
15_chapter 6.pdf560.25 kBAdobe PDFView/Open
16_chapter 7.pdf274.25 kBAdobe PDFView/Open
17_chapter 8.pdf211.08 kBAdobe PDFView/Open
18_chapter 9.pdf74.45 kBAdobe PDFView/Open
19_references.pdf557.83 kBAdobe PDFView/Open
20_list of publications.pdf138.66 kBAdobe PDFView/Open


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