PERBANDINGAN PERFORMANSI METODE NAIVE BAYES CLASSIFIER DAN ALGORITMA J48 DALAM KLASIFIKASI DATA JAMUR

CINNAMON, Herni Utami

2016 | Skripsi | FMIPA

Data mining is the useful tool for discovering knowledge from large data. One of the important thing is classification of the data. Classification is used to classify data based on their characteristics which is recognized each classes. There are some techniques to classify the data, Naive Bayes Classifier and J48 Algorithm. In this minithesis, concerned to classify mushroom dataset using Naive Bayes Classifier and J48 Algorithm. This mushroom divided into edible or poisonous mushroom. Using those methods, we can compare the accuracy so we can conclude the best method to classify the mushroom dataset and predict it consider to the predictor variable.

Kata Kunci : data mining, classification, Naive Bayes Classifier, J48 Algorithm, mushroom dataset.