Comparative Analysis Of Data Mining Using The Rought Set Method With K-Means Method

Abstract

The purpose of this article is to compare between two data mining methods. Namely rought sets and k-means which both types of data aremining for clustering. Data mining itself is a method used to explore knowledge from a pile of data which so far has only been archived. While theclustering method itself is one method used to classify tendency, either the rought set method or k-means itself is used to find tendency or classify data.Both the method of rought set and k-means have the advantages of each according to needs. It is important to know what the advantages of eachmethod are before deciding to use which method to use