CLASSIFICATION OF BLOOD DONOR DATA USING C4.5 AND K-NEAREST NEIGHBOR METHODS (CASE STUDY: UTD PMI BALI PROVINCE)
Classification of blood donor data at UTD PMI Bali Province by applying the C4.5 and K-Nearest Neighbor algorithms. The number of blood donor data donors is 34,948, of which 90% of the data, namely 31,454 is used as training data. Meanwhile, 10% of the data, which is 3,494 data, is used as the imple...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
LPPM Nusa Mandiri
2022-03-01
|
| シリーズ: | Pilar Nusa Mandiri |
| 主題: | |
| オンライン･アクセス: | https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2790 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|