Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/568009
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Privacy preservation and classification for health care system using machine learning algorithms | |
dc.date.accessioned | 2024-05-30T10:05:22Z | - |
dc.date.available | 2024-05-30T10:05:22Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/568009 | - |
dc.description.abstract | Big 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.extent | xvii,179p. | |
dc.language | English | |
dc.relation | p.163-178 | |
dc.rights | university | |
dc.title | Privacy preservation and classification for health care system using machine learning algorithms | |
dc.title.alternative | ||
dc.creator.researcher | Benhar Charles V | |
dc.subject.keyword | Arts and Humanities | |
dc.subject.keyword | Arts and Recreation | |
dc.subject.keyword | Humanities Multidisciplinary | |
dc.description.note | ||
dc.contributor.guide | Surendran D | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Science and Humanities | |
dc.date.registered | ||
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | 21cm. | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Science and Humanities |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 25.3 kB | Adobe PDF | View/Open |
02_prelimpage.pdf | 2.74 MB | Adobe PDF | View/Open | |
03_content.pdf | 16.17 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 123.15 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 500.71 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 379.13 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 590.24 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 642.59 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 769.69 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 717.05 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 76.44 kB | Adobe PDF | View/Open |
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