Enhanced Optimal Feature Selection Techniques for Predicting Diabetes Disease
| dc.contributor.guide | Ananda Kumar S | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Jayashree J | |
| dc.date.accessioned | 2021-01-22T10:53:07Z | |
| dc.date.available | 2021-01-22T10:53:07Z | |
| dc.date.awarded | 2020 | |
| dc.date.completed | 2020 | |
| dc.date.registered | 2013 | |
| dc.description.abstract | newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | ||
| dc.format.extent | 1-120 | |
| dc.identifier.uri | http://hdl.handle.net/10603/312812 | |
| dc.language | English | |
| dc.publisher.institution | School of Computing Science and Engineering | |
| dc.publisher.place | Vellore | |
| dc.publisher.university | VIT University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Diabetes Disease | |
| dc.subject.keyword | Neural Networks, Optimization. | |
| dc.subject.keyword | Optimal Feature Selection Techniques , Classification | |
| dc.title | Enhanced Optimal Feature Selection Techniques for Predicting Diabetes Disease | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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