Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/598332
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-10-28T10:26:15Z | - |
dc.date.available | 2024-10-28T10:26:15Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/598332 | - |
dc.description.abstract | newline | |
dc.format.extent | 194 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Enhancement of Conventional Data Mining Algorithm for Classification and Prediction of Large Scale Academic Data in Context of Unified District Information System for Education | |
dc.title.alternative | ||
dc.creator.researcher | Khushbu Agrawal | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Bhavana Narain | |
dc.publisher.place | Raipur | |
dc.publisher.university | MATS University | |
dc.publisher.institution | MATS School of Information Technology | |
dc.date.registered | 2020 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | MATS School of Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01title page.pdf | Attached File | 16.21 kB | Adobe PDF | View/Open |
02 preliminary pages.pdf | 608.7 kB | Adobe PDF | View/Open | |
03 table of contents.pdf | 280.04 kB | Adobe PDF | View/Open | |
04 abstract.pdf | 188.15 kB | Adobe PDF | View/Open | |
05 chapter 1.pdf | 368.97 kB | Adobe PDF | View/Open | |
06 chapter 2.pdf | 432.46 kB | Adobe PDF | View/Open | |
07 chapter 3.pdf | 1.29 MB | Adobe PDF | View/Open | |
08 chapter 4.pdf | 1.41 MB | Adobe PDF | View/Open | |
09 chapter 5.pdf | 418.92 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 435.65 kB | Adobe PDF | View/Open |
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