Today, thanks to the digital tools and internet connectivity we use in every aspect of urban life, we are continuously generating data—both online and offline.
Our daily activities such as shopping at markets, online product searches, social media posts, photos we upload, comments we leave, websites we manage, government and banking transactions, transportation services, and many other areas are managed through internal and inter-system information exchanges.
This Big Data, growing exponentially with every passing second, can become valuable for a wide range of scientific research and commercial strategies—starting with sociological studies—provided it is properly analyzed. In addition to the applications I previously mentioned, such as Weka, Tableau, and KNIME, I will briefly introduce RapidMiner in this article.
RapidMiner
RapidMiner is a software platform developed by a company with the same name, specifically designed for machine learning and data mining needs. It can operate using a client/server architecture or as a Software as a Service (SaaS) solution on a cloud infrastructure. Primarily focused on research and educational applications, RapidMiner can be considered a community-driven software. Its use for rapid prototyping and application development also contributes to its widespread commercial adoption.
RapidMiner Studio, RapidMiner Server, RapidMiner Radoop, and RapidMiner Cloud products provide solutions tailored to different user needs, and are freely available for use by the RapidMiner community and academic research1. In addition to the core version, a license is required for PRO usage2.
RapidMiner Installation
The latest version of RapidMiner Studio can be accessed via the Download page. Additionally, access is available through GitHub3. You can also download the application via macOS’s package manager.
brew cask search rapidminer-studioThe application supports all steps of the data mining process, including data preparation, result visualization, validation, and optimization. However, for additional packages you may need after installation (such as R scripting, Python scripting, Weka integration, API access, text mining, etc.), the RapidMiner Marketplace under the Extensions menu can be used. RapidMiner provides training content across various topics, including Training Videos4, application-specific RapidMiner Documentation5, and resource-based materials such as Whitepapers, EBooks & Analyst Reports under the Reports & Tools section6. Unlike other applications, RapidMiner also offers a Certification service called The RapidMiner Certification Program, which includes various courses related to training4.