Classification Techniques: A Review
Rajwinder Kaur, Prince Verma · IOSR Journal of Computer Engineering · 2017
Data mining is a process to extract information from a huge amount of data and transform it into an understandable structure.Data mining provides the number of tasks to extract data from large databases such as Classification, Clustering, Regression, Association rule mining.This paper provides the concept of Classification.Classification is an important data mining technique based on machine learning which is used to classify the each item on the bases of features of the item with respect to the predefined set of classes or groups.This paper summarises various techniques that are implemented for the classification such as k-NN, Decision Tree, Naïve Bayes, SVM, ANN and RF.The techniques are analyzed and compared on the basis of their advantages and disadvantages.