1. Shodhganga@INFLIBNET
  2. Manonmaniam Sundaranar University
  3. Department of Statistics
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/426992
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-17T16:59:02Z-
dc.date.available2022-12-17T16:59:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/426992-
dc.description.abstractnewline
dc.format.extentxiii, 113p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleData mining techniques for household electricity consumption data
dc.title.alternative
dc.creator.researcherRaja C
dc.subject.keywordMathematics
dc.subject.keywordPhysical Sciences
dc.subject.keywordStatistics and Probability
dc.description.note
dc.contributor.guideArumugam P
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.publisher.institutionDepartment of Statistics
dc.date.registered
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Statistics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File114.97 kBAdobe PDFView/Open
02_prelim pages.pdf158.54 kBAdobe PDFView/Open
03_contents.pdf96.9 kBAdobe PDFView/Open
04_abstract.pdf56.47 kBAdobe PDFView/Open
05_chapter 1.pdf813.09 kBAdobe PDFView/Open
06_chapter 2.pdf284.07 kBAdobe PDFView/Open
07_chapter 3.pdf495.15 kBAdobe PDFView/Open
08_chapter 4.pdf1.34 MBAdobe PDFView/Open
09_chapter 5.pdf956.2 kBAdobe PDFView/Open
10_bibliography.pdf194.32 kBAdobe PDFView/Open
80_recommendation.pdf73.42 kBAdobe PDFView/Open
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