Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/302349
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dc.coverage.spatialComputer Science
dc.date.accessioned2020-10-09T05:22:43Z-
dc.date.available2020-10-09T05:22:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/302349-
dc.description.abstractfile attached
dc.format.extent94 p.
dc.languageEnglish
dc.relationno. of references 173
dc.rightsuniversity
dc.titleAnalysis of real world traffic accident data using data mining techniques
dc.title.alternative-
dc.creator.researcherGupta, Meenu
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordData mining
dc.subject.keywordEngineering and Technology
dc.subject.keywordTraffic accidents
dc.description.notereferences p.79-94
dc.contributor.guideLatika
dc.publisher.placeGurgaon
dc.publisher.universityAnsal University
dc.publisher.institutionSchool of Engineering and Technology
dc.date.registeredn.d.
dc.date.completed2019
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:School of Engineering and Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File98.6 kBAdobe PDFView/Open
02_dedication.pdf84.58 kBAdobe PDFView/Open
03_certificate.pdf150.21 kBAdobe PDFView/Open
04_acknowledgement.pdf85.24 kBAdobe PDFView/Open
05_abstract.pdf86.53 kBAdobe PDFView/Open
06_content.pdf327.37 kBAdobe PDFView/Open
07_chapter 1.pdf204.02 kBAdobe PDFView/Open
08_chapter 2.pdf497.56 kBAdobe PDFView/Open
09_chapter 3.pdf495.36 kBAdobe PDFView/Open
10_chapter 4.pdf415.33 kBAdobe PDFView/Open
11_chapter 5.pdf296.82 kBAdobe PDFView/Open
12_references.pdf298.66 kBAdobe PDFView/Open
13_annexure.pdf1.35 MBAdobe PDFView/Open
80_recommendation.pdf127.62 kBAdobe PDFView/Open


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