Documentation

There are extensive resources to guide your experience with RapidMiner.

Please note that we’re currently updating our documentation to reflect our new product names:
RapidMiner is now RapidMiner Studio, and RapidAnalytics is now RapidMiner Server.

Manuals, Guides, and Books

RAPIDMINER MANUAL 5.0+

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The RapidMiner User Manual is the main documentation of RapidMiner. It contains a detailed introduction to the basic concepts as well as a complete description of the program itself. 

RAPIDMINER OPERATOR REFERENCE

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This complete reference documentation of RapidMiner operators. In close to 1000 pages, it explains all parameters, ports, and subprocesses. The usage of each operator is illustrated with at least one tutorial process. 

DATA MINING FOR THE MASSES

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In this book, Professor Matt North, a former risk analyst and database developer for eBay.com, uses RapidMiner to teach the basics of data mining. Simple examples, clear explanations, and demonstrated techniques help you answer your toughest business questions.

RAPIDMINER IN ACADEMIC USE

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There are many advantages to using RapidMiner for academic projects. This paper illustrates how you can use RapidMiner to perform data analyses in the data-driven sciences, evaluate newly developed data mining algorithms, and add a great amount of visibility and reproducibility to your results. 

HOW TO EXTEND RAPIDMINER

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This whitepaper helps you get started on implementing your own RapidMiner Extensions. From executing new algorithms to designing user interface components, this guide contains step-by-step explanations of everything you need to know. It is accompanied by a tutorial project that can be run immediately. 

RAPIDMINER ADVANCED CHARTS

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This addition to the user manual includes detailed descriptions of the advanced RapidMiner charts. All features of these charts are described and illustrated with examples. 

RapidMiner: Data Mining Use Cases and Business Analytics Applications

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This newly released book, written by leaders in the data mining community including RapidMiner developers, provides an in-depth look at the application of RapidMiner’s data mining and business analytics tools to diverse fields, including scientific research, medicine, industry, and commerce. It covers all relevant steps of the data mining process, from data loading to visualization to integration with other tools and infrastructures. Each application-oriented chapter gives you the necessary analytics as well as reproducible, step-by-step descriptions of their implementation with RapidMiner and RapidMiner Server.  Case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar problems.

RapidMiner Studio Video Tutorials

This  collection of video tutorials shows how RapidMiner can be used to efficiently solve data mining problems. Topics cover user interface, data import and preparation, modelling, evaluation, and visualization.

RapidMiner Server Video Tutorials

This video series explains the usage of RapidMiner Server (formerly called RapidAnalytics). Topics include using RapidMiner Server as a repository, scheduling jobs, reporting, and the creation of Web services to integrate RapidMiner Server with other parts of your IT infrastructure.

Additional Video Resources