Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/509464
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-08-29T06:12:23Z | - |
dc.date.available | 2023-08-29T06:12:23Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/509464 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | data classification model using metaheuristics optimization algorithm for healthcare sector | |
dc.title.alternative | ||
dc.creator.researcher | Yogananda P | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Arvind Babu L R | |
dc.publisher.place | Annamalai Nagar | |
dc.publisher.university | Annamalai University | |
dc.publisher.institution | Department of Computer and Information Science | |
dc.date.registered | 2019 | |
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 and Information Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10. chapter 1.pdf | Attached File | 580.14 kB | Adobe PDF | View/Open |
11. chapter 2.pdf | 112.82 kB | Adobe PDF | View/Open | |
12. chapter 3.pdf | 152.02 kB | Adobe PDF | View/Open | |
13. chapter 4.pdf | 446.73 kB | Adobe PDF | View/Open | |
14. chapter 5.pdf | 573.29 kB | Adobe PDF | View/Open | |
15. chapter 6.pdf | 705.23 kB | Adobe PDF | View/Open | |
1. cover.pdf | 29.14 kB | Adobe PDF | View/Open | |
5. abstact.pdf | 80.62 kB | Adobe PDF | View/Open | |
6. table of contents.pdf | 39.4 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 705.23 kB | Adobe PDF | View/Open | |
annexures.pdf | 3.28 MB | Adobe PDF | View/Open | |
prelim pages.pdf | 665.55 kB | Adobe PDF | View/Open |
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