*Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, Uttar Pradesh, India, Email id: ajay.rana@shobhituniversity.ac.in
**School of Computer Science and Engineering, Faculty of Engineering and Technology, Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, Uttar Pradesh, India, Email id: rajesh@shobhituniversity.ac.in
Online Published on 03 January, 2022.
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.
C4.5, Classification, Data Mining, Decision Tree, ID3
