Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/331158
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2021-07-09T06:13:13Z | - |
dc.date.available | 2021-07-09T06:13:13Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/331158 | - |
dc.description.abstract | Performance Based Analysis Of Clustering Algorithms Using Diabetic Data For The Prediction Of Disease newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Performance Based Analysis Of Clustering Algorithms Using Diabetic Data For The Prediction Of Disease | |
dc.title.alternative | ||
dc.creator.researcher | Saravananathan K | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Theory and Methods | |
dc.description.note | ||
dc.contributor.guide | T Velmurugan | |
dc.publisher.place | Chennai | |
dc.publisher.university | University of Madras | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | ||
dc.date.completed | 2020 | |
dc.date.awarded | ||
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 173.81 kB | Adobe PDF | View/Open |
02_certificate.pdf | 147.43 kB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 286.6 kB | Adobe PDF | View/Open | |
04_chapter 1.pdf | 401.34 kB | Adobe PDF | View/Open | |
05_chapter 2.pdf | 404.84 kB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 377.12 kB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 431.79 kB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 355 kB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 498.47 kB | Adobe PDF | View/Open | |
10_chapter 7.pdf | 95.32 kB | Adobe PDF | View/Open | |
11_reference.pdf | 297.45 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 185.44 kB | Adobe PDF | View/Open |
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