Comparative Analysis of Open-Source Data Mining Tools

Abstract

Companies strive to draw valuable conclusions from large amounts of data. These conclusions help improve decision-making, predict future trends, and gain a comparative advantage for that company. Mentioned processes can be provided using the data mining methods. Through data analysis, data mining indicates the connections between the data and provides valuable information. Numerous data mining tools are present on the market, some of them being free and others having to be purchased. This paper analyzes three open-source data mining software products: Knime, RapidMiner, and H2O. It aims to contribute to a more straightforward decision-making process when choosing the data mining tool that meets the company's needs for quality analysis.