• Anita Mahajan
• Dr. R.P. Singh
• Dr. Ilyas khan

Data mining is a process of identification of meaningful information from large amount of random data. There are various techniques of data mining such as classification, clustering and association. Classification is a process of assigning entities to an already defined class by examining the features. Decision tree is a classification technique in which a model is created that anticipates the value of target variable depending on input values. CART and C4.5 are commonly used decision tree algorithms in the modern era. These algorithms are based on Hunt’s algorithm. Goal of this study is to provide review of the decision tree algorithms.

CART, C4.5, Data mining

"DATA MINING: ELEMENTARY TOOLS FOR ANALYZING DATA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.72-76, December-2018, Available :http://www.jetir.org/papers/JETIR1812613.pdf

"DATA MINING: ELEMENTARY TOOLS FOR ANALYZING DATA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp72-76, December-2018, Available at : http://www.jetir.org/papers/JETIR1812613.pdf