Comparative study between decision tree and knn of data mining classification technique

Data mining is used to discover hidden information using some process, techniques, and its algorithm. Data mining is a very beneficial method to analyze critical data. Many Researchers and organizations use data mining to extract useful knowledge regarding their need. Data mining has many techniques. For example, Classification, Clustering, Regression, Association, Summarization, Time-series etc. Each technique has some algorithms like classification has a decision tree, Naïve Bayes, Neural Networks and so on and Clustering has K-means and so on. The comparative study between Decision tree Algorithm and K-Nearest Neighbor Algorithm of Classification techniques is present in this paper.