Abstract:
Data mining is the use of algorithm to discover
enormous amount of data automatically by searching
hidden information from large data sets using
multiple algorithms and techniques. Different
methods and algorithms are available in data mining
system. Classification and prediction are the most
common method used to make out models and predict
probable data patterns and can be solving several
problems in different domains like education,
medicine, business, and science. In the present
scenario, as almost everything is becoming
computerized, various classifications algorithms have
been developed to make the automatic decision
process. The Decision Tree is an imperative
classification method in data mining classification.
This paper provides a comparison between two data
mining classification algorithms: C5.0 and CART
(classification and regression tree) applied on two
different UCI datasets: car evaluation dataset and
credit card dataset.
