Comparative Study of Different Clustering and Decision Tree for Data Mining Algorithm
Data mining is a very interesting area to mine the data for knowledge. Several techniques are available. A data mining is one of the fast growing research field which is used in a wide areas of applications. The data mining consists of classification algorithms, association algorithms and searching algorithms. The authors are using clustering and decision tree methods to mine the data by using hybrid algorithms K-means, SOM and HAC algorithms from clustering and ID3 and C4.5 and CART algorithms from decision tree and it can produce the better results than the traditional algorithms.