Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/482771
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-05-12T08:27:29Z | - |
dc.date.available | 2023-05-12T08:27:29Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/482771 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Improved imperialistic competitive algorithm based optimized feature selection method for deep learning classifiers in an e learning recommender system | |
dc.title.alternative | ||
dc.creator.researcher | B K Poornima | |
dc.subject.keyword | based optimized feature selection method for deep learning classifiers in an | |
dc.subject.keyword | e learning recommender system | |
dc.subject.keyword | Improved imperialistic competitive algorithm | |
dc.description.note | 4703 | |
dc.contributor.guide | A Kangaiammal | |
dc.publisher.place | Salem | |
dc.publisher.university | Periyar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2014 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | 92mm | |
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 | |
---|---|---|---|---|
10_appendices.pdf | Attached File | 127.52 kB | Adobe PDF | View/Open |
1_title.pdf | 43.84 kB | Adobe PDF | View/Open | |
2_certificate.pdf | 171.88 kB | Adobe PDF | View/Open | |
3_preliminary pages.pdf | 1.54 MB | Adobe PDF | View/Open | |
4_chapter 1.pdf | 430.41 kB | Adobe PDF | View/Open | |
5_chapter 2.pdf | 368.98 kB | Adobe PDF | View/Open | |
6_chapter 3.pdf | 569.45 kB | Adobe PDF | View/Open | |
7_chapter 4.pdf | 471.96 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 581.14 kB | Adobe PDF | View/Open | |
8_chapter 5 and 6.pdf | 566.53 kB | Adobe PDF | View/Open |
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