A review of popular decision tree algorithms in data mining
Ajay Rana, Rajesh Pandey · Asian Journal of Multidimensional Research · 2021
Data gathering and production technologies have progressed quickly. As a consequence, everything becomes automated, including data storage and accumulation. Data mining is a technique for predicting previously unseen valuable information from massive amounts of data. Otherwise, we have a lot of data but little information, which may be wrong. This paper presents an overview of data mining methods, with an emphasis on the prominent decision tree algorithms (C4.5 and ID3) and associated learning tools. The accuracy has been shown using a variety of datasets.