Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/359718
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-02-03T06:25:41Z | - |
dc.date.available | 2022-02-03T06:25:41Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/359718 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | A Multi Feature based Efficient Disease Identification from Medical Datasets using Soft Computing Techniques | |
dc.title.alternative | ||
dc.creator.researcher | Ramya B | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.description.note | ||
dc.contributor.guide | Arthi K | |
dc.publisher.place | Coimbatore | |
dc.publisher.university | Bharathiar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2012 | |
dc.date.completed | 2019 | |
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 | 502.1 kB | Adobe PDF | View/Open |
02_certificate.pdf | 1.34 MB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 639.93 kB | Adobe PDF | View/Open | |
04_chapter1.pdf | 955.89 kB | Adobe PDF | View/Open | |
05_chapter2.pdf | 682.59 kB | Adobe PDF | View/Open | |
06_chapter3.pdf | 628.3 kB | Adobe PDF | View/Open | |
07_chapter4.pdf | 647.15 kB | Adobe PDF | View/Open | |
08_chapter5.pdf | 820.57 kB | Adobe PDF | View/Open | |
09_chapter6.pdf | 533.17 kB | Adobe PDF | View/Open | |
10_chapter7.pdf | 457.07 kB | Adobe PDF | View/Open | |
11_references.pdf | 621.71 kB | Adobe PDF | View/Open | |
12_appendix.pdf | 1.12 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 959 kB | Adobe PDF | View/Open |
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