Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/578365
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-07-24T08:26:22Z | - |
dc.date.available | 2024-07-24T08:26:22Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/578365 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Iot Big Data Predictive Analytics For Decision Making | |
dc.title.alternative | ||
dc.creator.researcher | Clement Virgeniya, S | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Ramaraj, E | |
dc.publisher.place | Karaikudi | |
dc.publisher.university | Alagappa University | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2018 | |
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 and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_tittle.pdf | Attached File | 258.71 kB | Adobe PDF | View/Open |
02_prelim page.pdf | 945.71 kB | Adobe PDF | View/Open | |
03_content.pdf | 434.56 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 384.23 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 878.68 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 611.31 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 1.69 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 1.69 MB | Adobe PDF | View/Open | |
09_chapter5.pdf | 1.52 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 655.12 kB | Adobe PDF | View/Open | |
11_chapter6.pdf | 1.76 MB | Adobe PDF | View/Open | |
12_chapter7.pdf | 266.07 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 332.47 kB | Adobe PDF | View/Open |
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