Performance Analysis of Data Mining Methods for Sexually Transmitted Disease Classification

Abstract

According to health reports of Malang city, many people are exposed to sexually transmitted diseases and most sufferers are not aware of the symptoms. Malang city being known as a city of education so that every year the population number increases, it is at risk of increasing the spread of sexually transmitted diseases virus. This problem is important to be solved to treat earlier sufferers sexually transmitted diseases virus in order to reduce the burden of patient spending. In this research, authors conduct data mining methods to classifying sexually transmitted diseases. From the experiment result shows that K-NN is the best method for solve this problem with 90% accuracy.

Proposed classification for eLearning data analytics with MOA

“…The dataset composes of detailed records of students who currently enroll. A synthetic dataset with 16 attributes and 480 instances also has been employed by [6] for the mining process. Especially, how to apply elearning data analytics to help disabled students has been presented by [7].…”