Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/465081
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | computer science and engineering | |
dc.date.accessioned | 2023-02-20T12:28:18Z | - |
dc.date.available | 2023-02-20T12:28:18Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/465081 | - |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Big data Analytics for Cancer identification using Genomic sequences | |
dc.title.alternative | ||
dc.creator.researcher | Tahmeena Fathima | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Jyothi, S | |
dc.publisher.place | Tirupati | |
dc.publisher.university | Sri Padmavathi Womens University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2017 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 35 | |
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 | |
---|---|---|---|---|
011_chapter 6.pdf | Attached File | 759.97 kB | Adobe PDF | View/Open |
012_chapter 7.pdf | 11.01 kB | Adobe PDF | View/Open | |
01_title.pdf | 553.1 kB | Adobe PDF | View/Open | |
02_prelimnary.pdf | 2.17 MB | Adobe PDF | View/Open | |
03_contents.pdf | 159.33 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 129.83 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 697.59 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 417.6 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 456.05 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 654.84 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 892.83 kB | Adobe PDF | View/Open | |
10_annexure.pdf | 703.66 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 560.73 kB | Adobe PDF | View/Open |
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