An analysis program used in data mining: WekA

Abstract

In this study, it is aimed to introduce one of the data mining methods which is very popular in recent years and commonly used in this area. For this purpose, the WEKA program and the decision trees, which is one of the methods used to estimate the dependent variable through independent variables, will be introduced. In today's age of technology, the amount of information at hand is constantly increasing and the derivation of meaningful results from this information is seen as a valuable field of study. Data mining aims to reveal the information that is hidden in a large amount of data after a series of operations, which is very useful for researchers. Regarding this approach that is mostly based on estimation and classification, there is a lot of new and unvalidated software that has not yet been fully tested. In this study, we discuss WEKA software, which is one of the programs in the field of data mining, how to run the program and the content of the analyzes and output files. The study also contains some suggestions for the practitioners who want to use this program about the superior aspects of the software and what kind of analysis can be done with it.