Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/447044
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-01-16T05:58:24Z | - |
dc.date.available | 2023-01-16T05:58:24Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/447044 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Efficient Postprocessing Method for Mining Profitable Knowledge for Classification Problems | |
dc.title.alternative | ||
dc.creator.researcher | J. Naga Muneiah | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Ch. D. V. Subbarao | |
dc.publisher.place | Kakinada | |
dc.publisher.university | Jawaharlal Nehru Technological University, Kakinada | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2014 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01.pdf | Attached File | 302.64 kB | Adobe PDF | View/Open |
02.pdf | 399.61 kB | Adobe PDF | View/Open | |
03.pdf | 313.22 kB | Adobe PDF | View/Open | |
04.pdf | 306.44 kB | Adobe PDF | View/Open | |
05.pdf | 2.01 MB | Adobe PDF | View/Open | |
06.pdf | 2.33 MB | Adobe PDF | View/Open | |
10.pdf | 347.67 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 316.41 kB | Adobe PDF | View/Open |
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