An overview of the visualization features in open source data mining tools

Typically, data mining tends to predict future patterns and behaviors considering current repositories and warehouses of data [1]. The adoption of open source software provides more independence to the researchers and developers contrasted to the closed source licenses that limit rights [8]. In this research, the authors are going to explore and compare five tools amongst WEKA, Orange, RapidMiner, Tanagra, and KNIME. The main purpose is to distinguish the chief differences between open source software tools and formerly to classify them into different levels of visualization functions: high support, middle support, and low support. At last, the final assumption revealed that the best software amongst the investigated tools in terms of visualization features is RapidMiner.