International Journal of P2P
Network Trends and Technology

Research Article | Open Access | Download PDF
Volume 3 | Issue 5 | Year 2013 | Article Id. IJPTT-V3I8P101 | DOI : https://doi.org/10.14445/22492615/IJPTT-V3I8P101

Classification algorithm in Data mining: An Overview


S.Neelamegam, Dr.E.Ramaraj

Citation :

S.Neelamegam, Dr.E.Ramaraj, "Classification algorithm in Data mining: An Overview," International Journal of Computer Trends and Technology (IJCTT), vol. 3, no. 5, pp. 1-5, 2013. Crossref, https://doi.org/10.14445/22492615/IJPTT-V3I8P101

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.

Keywords

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

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  cjlin@csie.ntu.edu.tw
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 maimon@eng.tau.ac.il
[5] Overview of Decision Trees by H.Hamilton. E. Gurak, L. Findlater W. Olive
[6] A Tutorial on Support Vector Machines for Pattern Recognition CHRISTOPHER J.C. BURGES
[7] Overview of Bayesian network approaches to model geneenvironment interactions and cancer susceptibility Chengwei Su, Angeline Andrew, Margaret Karagas,Mark E. Borsuk