For anyone looking to compare characteristics, pros and cons of the six most commonly used data mining free software tools, please refer to a great expert paper titled "
An overview of free software tools for general data mining" by A. Jović, K. Brkićand N. Bogunović, Faculty of Electrical Engineering and Computing, University of Zagreb / Department of Electronics, Microelectronics,Computer and Intelligent Systems, Zagreb, Croatia. The six tools extensively covered in the paper are as following-
- RapidMiner
- R
- Weka
- KNIME
- Orange
- scikit-learn
The paper contains a comparison of the implemented algorithms covering all areas of data mining, such as,
- classification
- regression
- clustering
- associative rules
- feature selection
- evaluation criteria
- visualization
Also covered in the paper are advanced and specialized research topics, such as,
- big data
- data streams
- text mining
In short it is a treasure trove of generally great information for either a novice or an expert who might just be wondering if he or she choose the right tool.
![Comparison of free data mining tools (R, RapidMiner, Weka and more) Comparison of free data mining tools (R, RapidMiner, Weka and more)](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgt_-FKa0tS2YVQNisltJa9LfNLknGEG8mYe-BU3q6aC0vhQM62RS-CFwOws0rF-RNdg3n2UVKrMSdcik5FBKzqrEt-Z7DHUo0_K-SrqYL8NEbbUKATwx5MmlQy-vp0Ay0tcrihfVx6-bM/s1600/Data-mining-tools-comp.png) |
Comparison of free data mining tools |