Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/564636
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-05-20T07:07:20Z | - |
dc.date.available | 2024-05-20T07:07:20Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/564636 | - |
dc.description.abstract | newline | |
dc.format.extent | xix,170p | |
dc.language | English | |
dc.relation | 140 | |
dc.rights | university | |
dc.title | An exploitation of deep predictive big data recommender systems for heterogeneous information sources | |
dc.title.alternative | ||
dc.creator.researcher | M Kavitha | |
dc.subject.keyword | An exploitation of deep predictive | |
dc.subject.keyword | big data recommender systems | |
dc.subject.keyword | heterogeneous information sources | |
dc.description.note | 5032 | |
dc.contributor.guide | S Subbaiah | |
dc.publisher.place | Salem | |
dc.publisher.university | Periyar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2017 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | 92mm | |
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 | |
---|---|---|---|---|
10.annexures.pdf | Attached File | 167.14 kB | Adobe PDF | View/Open |
1_title.pdf | 63.66 kB | Adobe PDF | View/Open | |
2_preliminary pages.pdf | 1.68 MB | Adobe PDF | View/Open | |
3_content (index).pdf | 271.1 kB | Adobe PDF | View/Open | |
5_chapter 1.pdf | 463.38 kB | Adobe PDF | View/Open | |
6_chapter 2.pdf | 294.43 kB | Adobe PDF | View/Open | |
7_chapter 3.pdf | 237.11 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 176.91 kB | Adobe PDF | View/Open | |
8_chapter 4.pdf | 354.25 kB | Adobe PDF | View/Open | |
9_chapter 5 to last chapter.pdf | 1.32 MB | Adobe PDF | View/Open |
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