Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/250537
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2019-07-15T08:38:59Z | - |
dc.date.available | 2019-07-15T08:38:59Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/250537 | - |
dc.description.abstract | newline | |
dc.format.extent | 129p | |
dc.language | English | |
dc.relation | 148 | |
dc.rights | university | |
dc.title | Empirical models for thyroid disease classification using hybrid differential evolutionary algorithm | |
dc.title.alternative | ||
dc.creator.researcher | Geetha K | |
dc.subject.keyword | Empirical | |
dc.subject.keyword | Engineering and Technology,Computer Science,Computer Science Interdisciplinary Applications | |
dc.subject.keyword | Hybrid Algorithm | |
dc.subject.keyword | Thyroid Disease | |
dc.description.note | Bibliography p (113-127), Appendices | |
dc.contributor.guide | Santhosh Baboo S | |
dc.publisher.place | Salem | |
dc.publisher.university | Periyar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | ||
dc.date.completed | 2017 | |
dc.date.awarded | 18/03/2019 | |
dc.format.dimensions | 29 cms | |
dc.format.accompanyingmaterial | CD | |
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 | 133.65 kB | Adobe PDF | View/Open |
02_certificate.pdf | 195.53 kB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 662.94 kB | Adobe PDF | View/Open | |
04_chapter 1.pdf | 482.45 kB | Adobe PDF | View/Open | |
05_chapter 2.pdf | 407.87 kB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 458.3 kB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 811.75 kB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 1.16 MB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 1.18 MB | Adobe PDF | View/Open | |
10_chapter 7.pdf | 81.38 kB | Adobe PDF | View/Open | |
11_bibliography.pdf | 225.3 kB | Adobe PDF | View/Open | |
12_appendices.pdf | 153.71 kB | Adobe PDF | View/Open |
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