Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/568009
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dc.coverage.spatialPrivacy preservation and classification for health care system using machine learning algorithms
dc.date.accessioned2024-05-30T10:05:22Z-
dc.date.available2024-05-30T10:05:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/568009-
dc.description.abstractBig Data Analytics (BDA) is an essential technology in many newlineindustries, including finance and health insurance, entertainment and newlinemultimedia, telecommunications and transport, production, electricity and newlineservices, and healthcare. The collecting of extremely massive and complicated newlineelectronic health data is referred to as big data in healthcare. An essential newlineaspect of research is the security of data in the cloud. One of the major newlineresearch areas focuses on various security problems; data theft attacks are newlinesignificant threats in the cloud. In data mining, various privacy-preserving and newlinedata classification algorithms have been proposed. Privacy is a significant newlineproblem when a person wants to use data, especially when confidential data newlineneeds to be revealed. Privacy-preserving data mining techniques are newlineemployed to protect healthcare data or confidential data newline
dc.format.extentxvii,179p.
dc.languageEnglish
dc.relationp.163-178
dc.rightsuniversity
dc.titlePrivacy preservation and classification for health care system using machine learning algorithms
dc.title.alternative
dc.creator.researcherBenhar Charles V
dc.subject.keywordArts and Humanities
dc.subject.keywordArts and Recreation
dc.subject.keywordHumanities Multidisciplinary
dc.description.note
dc.contributor.guideSurendran D
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Science and Humanities
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions21cm.
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Science and Humanities

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01_title.pdfAttached File25.3 kBAdobe PDFView/Open
02_prelimpage.pdf2.74 MBAdobe PDFView/Open
03_content.pdf16.17 kBAdobe PDFView/Open
04_abstract.pdf123.15 kBAdobe PDFView/Open
05_chapter1.pdf500.71 kBAdobe PDFView/Open
06_chapter2.pdf379.13 kBAdobe PDFView/Open
07_chapter3.pdf590.24 kBAdobe PDFView/Open
08_chapter4.pdf642.59 kBAdobe PDFView/Open
09_chapter5.pdf769.69 kBAdobe PDFView/Open
10_annexures.pdf717.05 kBAdobe PDFView/Open
80_recommendation.pdf76.44 kBAdobe PDFView/Open


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