My introduction to RapidMiner Studio began in 2014 when I began writing a second edition of my data mining textbook. My initial intention was to learn enough about RapidMiner Studio to provide the reader with an example or two of how it can be used. It soon became clear that I would use RapidMiner Studio for the majority of the tutorials and demonstrations in my book. Here are a few of reasons:
RapidMiner Studio offers a superb user interface with an intuitive workflow paradigm that is very easy to learn.
RapidMiner Studio’s operators make it a complete and powerful tool for data preprocessing, data visualization, and data mining/analytics.
RapidMiner Studio provides excellent documentation, countless worked examples, training and support via a large user community.
I am particularly impressed with the these features:
- Every problem is solved using a sequence of operators.
- Statistical significance testing (T-Test, ANOVA, Grouped ANOVA, & ANOVA Matrix operators).
- Easy to use operators for Textual data mining.
- Web-based and cloud computing capabilities.
- Visualization capabilities.
- Marketplace Extensions – Especially the Finance And Economics & Weka Extensions.
- Process portability.
I use RapidMiner Studio as a tool for teaching students about data mining and data analytics, My forth coming text book will be available December 10th of this year. It contains 14 chapters two of which are devoted to RapidMiner Studio. Five additional chapters contain one or several data mining tutorials that use RapidMiner Studio 7. Here is a link that provides information about the text.