• N. Yasodha
• M. Prem Kumar

Data mining is that the method of analyzing data from completely different views and summarizing it into useful information. Classification could be a data processing technique supported machine learning which is employed to classify each item in a set of data into a group of predefined categories or teams. Classification is process of simplifying the data reliability according to different instances. There are number of major kinds of classification algorithms including k-nearest neighbor, naïve bays, support vector machines and neural network. This paper provides a comprehensive survey of various classification algorithms and their advantages and disadvantages.

Classification, NB, SVM, K-NN

"A STUDY ON VARIOUS CLASSIFICATION ALGORITHMS IN DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.25-31, November-2018, Available :http://www.jetir.org/papers/JETIR1811704.pdf

"A STUDY ON VARIOUS CLASSIFICATION ALGORITHMS IN DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp25-31, November-2018, Available at : http://www.jetir.org/papers/JETIR1811704.pdf