Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/292125
Title: | Development of Hybrid Techniques for Missing Data Imputation and Classification Using Kernel Clustering and Optimization based Neural Networks |
Researcher: | R. Rajani |
Guide(s): | T. Sudha |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | Sri Padmavathi Womens University |
Completed Date: | 2018 |
Abstract: | newline |
Pagination: | XII, 122 |
URI: | http://hdl.handle.net/10603/292125 |
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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