Abstract:
Information is very important nowadays; as a result transforming data into information hassignificantly increased the importance of using Data Mining. To give sense to data, data mininguses several techniques that developed within a field known machine learning. In this paper wewill be taking a look at WEKA workbench, which is a collection of machine learningalgorithms and data preprocessing tools. We will discuss how WEKA functions andwhat benefits does the use of this workbench give to us. Later we will reach in a concrete case ofstudying that implements WEKA workbench inside another application. We will illustrate indetail how the panels of the Explorer interface, the main interface of WEKA, use data miningalgorithms to present the desired result of the explored data.
