A Survey On Classification Techniques In Data Mining
- R.Anbu selvi
- Dr.R.Nallusamy
Support Vector Machine, CART, Minimum Description length, K-Nearest Neighbor, Bayesian network and Instance Based Learning.
Data mining is a process of extracting the knowledge pattern from large data. Classification is a technique which used to predict the group membership for data sets. There are various techniques such as Support Vector Machine, Bayesian networks and the k-nearest neighbor classifier are analyzed here. The goal of this survey is to provide an expanded review of different classification techniques in data mining
R.Anbu selvi, Dr.R.Nallusamy. "A Survey On Classification Techniques In Data Mining".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 4, pp.3687-3690, URL :https://rjwave.org/ijedr/papers/IJEDR1404048.pdf
Volume 2 Issue 4
Pages. 3687-3690
