Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/292125
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2020-07-20T10:47:05Z | - |
dc.date.available | 2020-07-20T10:47:05Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/292125 | - |
dc.description.abstract | newline | |
dc.format.extent | XII, 122 | |
dc.language | English | |
dc.relation | Rajani, R. and Sudha, T. 2019, Development of Hybrid Techniques for Missing Data Imputation and Classification Using Kernel Clustering and Optimization based Neural Networks , Ph.D. Thesis, Sri Padmavati Mahila Visvavidyalayam, Tirupati. | |
dc.rights | self | |
dc.title | Development of Hybrid Techniques for Missing Data Imputation and Classification Using Kernel Clustering and Optimization based Neural Networks | |
dc.title.alternative | ||
dc.creator.researcher | R. Rajani | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | T. Sudha | |
dc.publisher.place | Tirupati | |
dc.publisher.university | Sri Padmavathi Womens University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 13/12/2012 | |
dc.date.completed | 2018 | |
dc.date.awarded | 21/03/2019 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
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 | 275.1 kB | Adobe PDF | View/Open |
02_certificate.pdf | 261.88 kB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 411.54 kB | Adobe PDF | View/Open | |
04_chapter1.pdf | 359.31 kB | Adobe PDF | View/Open | |
05_chapter2.pdf | 385.22 kB | Adobe PDF | View/Open | |
06_chapter3.pdf | 1.09 MB | Adobe PDF | View/Open | |
07_chapter4.pdf | 1.25 MB | Adobe PDF | View/Open | |
08_chapter5.pdf | 573.19 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 479.04 kB | Adobe PDF | View/Open |
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