Data Mining Approach for Supervised Machine Learning Classification Algorithms

Abstract

Data mining is a method used mainly to find unknown patterns and transform raw data into user-friendly data. There are many techniques in data mining and algorithms are used to extract elusive information and find relations between them. Supervised classification algorithms for machine learning aim at categorizing data from prior knowledge. The Classification is a data mining technique that is using for data instances to predict group membership and classify the object according to the item's characteristics with respect to the predefined class collection.  Classification algorithms aim to produce reliable and precise results. These are some of the supervise classification algorithms including Decision tree j48, OneR, PART, JRip, Neural Net. (NN), Support Vectors Machines (SVMs).