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Software Installation and Introduction to RapidMiner
Abstract
Licensed and open-source data mining software has made it easier for data scientists to process and analyze large datasets. Python and R are popular open-source tools used for teaching data mining techniques, including data classification and clustering. However, one of the main challenges for domain experts looking to upskill in data science is computer programming. Licensed software such as RapidMiner provides a solution to this issue, as it is designed for data mining processing without requiring computer programming skills. RapidMiner allows data scientists to bring their data sets and mining models into an analysis process that includes all data science mechanisms. It also offers various supporting models for data pre-processing and creates data visualizations during data exploration. After data mining, RapidMiner displays easy-to-interpret results, enabling data scientists to effectively explain the answer to a business question to stakeholders. With its user-friendly interface, RapidMiner is an excellent choice for those without a technical background in programming.
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