Performance Study Of Uncertainty Based Feature Selection Method On Detection Of Chronic Kidney Disease With SVM Classification
| Main Authors: | Qolby, Lailly Syifa'ul; Dept. of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Buliali, Joko Lianto; Dept. of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Saikhu, Ahmad; Dept. of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
IPTEK, LPPM, Institut Teknologi Sepuluh Nopember
, 2021
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| Subjects: | |
| Online Access: |
https://iptek.its.ac.id/index.php/jts/article/view/10483 https://iptek.its.ac.id/index.php/jts/article/view/10483/6478 |
Internet
https://iptek.its.ac.id/index.php/jts/article/view/10483https://iptek.its.ac.id/index.php/jts/article/view/10483/6478
Lokasi
| Koleksi | IPTEK The Journal for Technology and Science |
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| Gedung | Perpustakaan Institut Teknologi Sepuluh November |
| Institusi | Institut Teknologi Sepuluh November |
| Kota | KOTA SURABAYA |
| Provinsi | JAWA TIMUR |
| Kontak | Butuh informasi lebih lanjut? Hubungi pustakawan institusi ini. |