RapidMiner (formerly YALE (Yet Another Learning Environment)) is an environment for machine learning and data mining experiments. It allows experiments to be made up of a large number of arbitrarily nestable operators, described in XML files which are created with RapidMiner's graphical user interface. RapidMiner is used for both research and real-world data mining tasks.
RapidMiner is a very good alternative to WEKA . I suggest to check the tutorials at the Rapid-I website:
- A quick tour video demonstrating some of the features of RapidMiner 5 within 3 minutes.
- RapidMiner Video Tutorial 1: User Interface and First Process (First Start and User Interface, Operators, First Process).
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RapidMiner Video Tutorial 2: Data Import and Repositories (Importing Data, Using Data in Processes, Meta Data).
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RapidMiner Video Tutorial 3: Modeling and Scoring (Basic Terms, Training a Data Mining Model, Applying Models for Scoring).
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RapidMiner Video Tutorial 4: Visualization (Visualizing Data, Visualizing Models and other Results, Result Overview).
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RapidMiner Video Tutorial 5: Evaluation and Performance Estimation (Nested Subprocesses, Evaluation by Cross Validation, Calculation and Visualization of Performances).
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RapidMiner Video Tutorial 6: Data Transformations (Basic Preprocessing Operators, Meta Data Transformation and Propagation, Quick Fixes).
Enjoy!
2 comentarios:
I was just checking it out this morning and found the interface and instant integration with whatever database you have lying around to be very nice.
I incerely appreciate your comment.
Now I have seen you work on sentiment analysis, I believe you will like this tutorial on that with LingPipe... if you did not see it before :)
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