Date of Publication :17th May 2024

Abstract:After the Internet Era, today we have a billions of data generating everyday by millions of users and thus being having this amount of data, it is neccessary to make useful outcome from this. This can be done by making data analysis and data extraction. Data mining is the method of finding out some useful outcome from an incomplete, random or noisy data records. Decision Tree algorithms make data mining easier by calculating useful outcome from tree including its root, branches, and nodes. Nodes represents attribute, a branch defines an outcome while leaf nodes defines a class label. This research paper provides a qualitative comparison of commonly used decsion tree algorithms used for data mining with its tools and applications.

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