Classification algorithm in Data mining: An Overview

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2013 by IJPTT Journal
	Volume-3 Issue-5
	Year of Publication : 2013
	Authors : S.Neelamegam, Dr.E.Ramaraj

Citation

S.Neelamegam, Dr.E.Ramaraj."Classification algorithm in Data mining: An Overview ". International Journal of P2P Network Trends and Technology (IJPTT), V3(5):1 - 5  Sep - Oct 2013, ISSN:2249-2615, www.ijpttjournal.org. Published by Seventh Sense Research Group.

Abstract

— Data Mining is a technique used in various domains to give meaning to the available data Classification is a data mining (machine learning) technique used to predict group membership for data instances. In this paper, we present the basic classification techniques. Several major kinds of classification method including decision tree, Bayesian networks, k-nearest neighbour classifier, Neural Network, Support vector machine. The goal of this paper is to provide a review of different classification techniques in data mining.

References

[1] CLUSTERING AND CLASSIFICATION: DATA MINING APPROACHES by Ed Colet
[2] Support Vector Machine Solvers L´eon Bottou NEC Labs America, Princeton, NJ 08540, USA Chih-Jen Lin This email address is being protected from spambots. You need JavaScript enabled to view it. Department of Computer Science National Taiwan University, Taipei, Taiwan
[3] Orange biolab Documentation.
[4] Decision tree Lior Rokach Department of Industrial Engineering Tel-Aviv University, Oded Maimon Department of Industrial Engineering Tel-Aviv University This email address is being protected from spambots. You need JavaScript enabled to view it.
[5] Overview of Decision Trees by H.Hamilton. E. Gurak, L. Findlater W. Olive

Keywords

- Data mining, classification, Supper vector machine (SVM), K-nearest neighbour (KNN), Decision Tree.