Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/493614
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-06-22T10:11:31Z | - |
dc.date.available | 2023-06-22T10:11:31Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/493614 | - |
dc.format.extent | 156 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | On hybridization of decision tree with soft computing paradigm for classification and regression | |
dc.title.alternative | ||
dc.creator.researcher | Jena, Monalisa | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Dehuri, Satchidananda | |
dc.publisher.place | Balasore | |
dc.publisher.university | Fakir Mohan University, Balasore | |
dc.publisher.institution | P.G Department of Information andCommunication Technology | |
dc.date.registered | 2018 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | P.G Department of Information &Communication Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 100.82 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 1.32 MB | Adobe PDF | View/Open | |
03_content.pdf | 657.21 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 948.86 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 7.95 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 19.15 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 8.53 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 6.68 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 6.46 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 7.21 MB | Adobe PDF | View/Open | |
6.pdf | 1.55 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.55 MB | Adobe PDF | View/Open |
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