Survey on Classification Techniques in Data mining

Abstract: Data mining is the analysis step of the "Knowledge Discovery in database" process or KDD. It is an interdisciplinary subfield of computer science and the computational process of discovering patterns in large data sets involving methods at the intersection of artificial brainpower, machine learning, figures and relevant data and database systems. Classification is a data mining (machine learning) technique used to predict group membership for data instance. In this paper, it deals about the survey of the several classification techniques. Examples are several ways of classification method such as decision tree induction, Bayesian networks, k-nearest neighbor classifier and fuzzy logic techniques.

Keywords: Bayesian networks, k-nearest neighbor classifier, Fuzzy logic and decision tree induction.