Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/508599
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-08-25T10:20:26Z | - |
dc.date.available | 2023-08-25T10:20:26Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/508599 | - |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | An Efficient Big Data Analysis for Cardio Vascular Disease Prediction Using Optimized Classification Model in Iot Environment | |
dc.title.alternative | ||
dc.creator.researcher | Safa, M | |
dc.subject.keyword | Automation and Control Systems | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Pandian, A | |
dc.publisher.place | Kattankulathur | |
dc.publisher.university | SRM Institute of Science and Technology | |
dc.publisher.institution | Department of Computer Science Engineering | |
dc.date.registered | ||
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 174.73 kB | Adobe PDF | View/Open |
02_preliminary page.pdf.pdf | 527.43 kB | Adobe PDF | View/Open | |
03_content.pdf | 541.6 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 151.84 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.48 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 506.14 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 476.62 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 633.13 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 769.66 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 614.46 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 816.3 kB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 147.19 kB | Adobe PDF | View/Open | |
13_annexures.pdf | 817.79 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 188.34 kB | Adobe PDF | View/Open |
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