Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/456774
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-02-07T07:19:47Z | - |
dc.date.available | 2023-02-07T07:19:47Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/456774 | - |
dc.description.abstract | newline | |
dc.format.extent | XIV, 114 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Design Implementation and Performance Evaluation of Predictive Models for Heart Disease Diagnosis using Data Mining Techniques | |
dc.title.alternative | ||
dc.creator.researcher | Sujata, Joshi | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Information Science and Engineering | |
dc.subject.keyword | Predictive Models, Heart Disease Diagnosis, Data Mining Techniques, HET-DATA-DT Model, HET-DATA-Knn Model | |
dc.description.note | ||
dc.contributor.guide | Mydhili, K Nair | |
dc.publisher.place | Belagavi | |
dc.publisher.university | Visvesvaraya Technological University, Belagavi | |
dc.publisher.institution | M S Ramaiah Institute of Technology | |
dc.date.registered | 2015 | |
dc.date.completed | 2020 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 8 x 12 | |
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | M S Ramaiah Institute of Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 327 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.19 MB | Adobe PDF | View/Open | |
03_content.pdf | 3.05 MB | Adobe PDF | View/Open | |
04_abstract.pdf | 1.44 MB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 7.19 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 9.33 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 9.22 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 17.45 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.84 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 9.3 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.17 MB | Adobe PDF | View/Open |
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