Performance of C4.5 and Naïve Bayes Algorithm to Predict Stomach Cancer - An analysis

Abstract

Worldwide cancer survey reports that Stomach cancer is the third leading cause of cancer death in both sexes. The death rate can be minimized in early prediction of the same. Numerous Data Mining algorithms are used to mine the necessary information from the large set of data. It is also playing a significant role in various disease predictions with the aid of different algorithms. This paper concentrates the prediction of the deadly disease Stomach Cancer using two different data mining algorithms named C4.5 algorithm and Naïve Bayes algorithm. It also analyse the performance and the role of both the algorithms in prediction. The experimental results prove the functionalities and the importance of C4.5 and Naïve Bayes algorithm.

Prediksi Kelulusan Peserta Uji Kompetensi Profesi Menggunakan Algoritma C4.5

“…Algoritma C4. 5 Algoritma C4.5 pertama kali diperkenalkan oleh Quinlan untuk menghasilkan model klasifikasi [8]. Klasifikasi adalah teknik data mining yang dapat digunakan untuk memprediksi keanggotaan suatu data ke dalam kelas-kelas [9].…”

Application of the Naïve Bayes Algorithm and Simple Exponential Smoothing for Food Commodity Prices Forecasting

“…[10] Demonstrated the questionnaire data for students' success prediction that cover the fields affecting students' performance the most. Then [11], [12], [13] proposed same method for breast cancer detection, stomach cancer, and purchase prediction. They conclude that the Naïve Bayes algorithm is selected as an optimal choice to conduct prediction.…”