Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/430712
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-12-24T05:35:49Z | - |
dc.date.available | 2022-12-24T05:35:49Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/430712 | - |
dc.format.extent | xvi, 126 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Stock Movement Prediction Models Using Machine Learning Techniques | |
dc.title.alternative | ||
dc.creator.researcher | Kumari, Binita | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Swarnkar, Tripti | |
dc.publisher.place | Bhubaneswar | |
dc.publisher.university | Siksha | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
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 | 154.77 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 636.95 kB | Adobe PDF | View/Open | |
03_content.pdf | 99.58 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 67.45 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 297.88 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 550.07 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 630.97 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 554.45 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 400.89 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 405.03 kB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 160.5 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 229.88 kB | Adobe PDF | View/Open |
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