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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...

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Hlavní autoři: Ni Ketut Melly Astuti, Nengah Widya Utami, I Gede Putu Krisna Juliharta
Médium: Artigo
Jazyk:Inglês
Vydáno: LPPM Nusa Mandiri 2022-03-01
Edice:Pilar Nusa Mandiri
Témata:
data mining
classification
blood donation
c4.5
k-nearest neighbor
On-line přístup:https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2790
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