Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/581775
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-08-09T06:33:27Z | - |
dc.date.available | 2024-08-09T06:33:27Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/581775 | - |
dc.description.abstract | Included in thesis newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Design and Development of an Efficient Classification Technique Using Mass Estimation | |
dc.title.alternative | ||
dc.creator.researcher | Kumar, Ashish | |
dc.subject.keyword | ARSKNN | |
dc.subject.keyword | CK-NEAREST NEIGHBOUR | |
dc.subject.keyword | CLASSIFICATION | |
dc.subject.keyword | CLASSIFIER | |
dc.subject.keyword | DATA MINING | |
dc.subject.keyword | SIMILARITY MEASURES | |
dc.description.note | ||
dc.contributor.guide | Bhatnagar, Roheet and Srivastava, Sumit | |
dc.publisher.place | Jaipur | |
dc.publisher.university | Manipal University Jaipur | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2013 | |
dc.date.completed | 2018 | |
dc.date.awarded | 2018 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
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_title.pdf.pdf | Attached File | 449.26 kB | Adobe PDF | View/Open |
02_prelim pages.pdf.pdf | 583.01 kB | Adobe PDF | View/Open | |
03_contents.pdf.pdf | 31.87 kB | Adobe PDF | View/Open | |
05_chapter_1.pdf.pdf | 248.3 kB | Adobe PDF | View/Open | |
06_chapter_2.pdf.pdf | 256.09 kB | Adobe PDF | View/Open | |
07_chapter_3.pdf.pdf | 98.99 kB | Adobe PDF | View/Open | |
08_chapter_4.pdf.pdf | 342.05 kB | Adobe PDF | View/Open | |
09_chapter_5.pdf.pdf | 1.76 MB | Adobe PDF | View/Open | |
10_chapter_6.pdf.pdf | 29.56 kB | Adobe PDF | View/Open | |
11_annexures.pdf.pdf | 80.32 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 478.27 kB | Adobe PDF | View/Open |
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