PREDIKSI POTENSI PENGIDAP PENYAKIT DIABETES MELLITUS BERDASARKAN FAKTOR RESIKO DENGAN METODE ASSOCIATION RULE

Published: Jan 20, 2021
Abstract
The discovery of knowledge from medical databases is important in order to make effective medical diagnosis. The aim of data mining is extract the information from database and generate clear and understandable description of patterns. In this study we have introduced a new approach to generate association rules on numeric data. We propose a modified equal width binning interval approach to discretizing continuous valued attributes. The...
Paper Details
Title
PREDIKSI POTENSI PENGIDAP PENYAKIT DIABETES MELLITUS BERDASARKAN FAKTOR RESIKO DENGAN METODE ASSOCIATION RULE
Published Date
Jan 20, 2021
Journal
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