Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/431227
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-12-26T04:53:18Z | - |
dc.date.available | 2022-12-26T04:53:18Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/431227 | - |
dc.description.abstract | newline | |
dc.format.extent | 241 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Design of unified framework on privacy preserving data mining | |
dc.title.alternative | ||
dc.creator.researcher | V. Jane varamani sulekha | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | G. Arumugam | |
dc.publisher.place | Madurai | |
dc.publisher.university | Madurai Kamaraj University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | ||
dc.date.completed | 2019 | |
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 57.79 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 533.3 kB | Adobe PDF | View/Open | |
03_chapter01.pdf | 413.77 kB | Adobe PDF | View/Open | |
04_chapter02.pdf | 599.41 kB | Adobe PDF | View/Open | |
05_chapter03.pdf | 714.25 kB | Adobe PDF | View/Open | |
06_chapter04.pdf | 486.85 kB | Adobe PDF | View/Open | |
07_chapter05.pdf | 1.42 MB | Adobe PDF | View/Open | |
08_chapter06.pdf | 542.56 kB | Adobe PDF | View/Open | |
09_chapter07.pdf | 793.11 kB | Adobe PDF | View/Open | |
10_chapter08.pdf | 622.29 kB | Adobe PDF | View/Open | |
11_chapter09.pdf | 398.68 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 226.27 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 533.3 kB | Adobe PDF | View/Open |
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