Massive Online Analysis
 | The topic of this article may not meet Wikipedia's general notability guideline. (May 2013) |
| Developer(s) | University of Waikato |
|---|---|
| Stable release | 2013.11
/ 2013/11/01 |
| Repository | |
| Operating system | Cross-platform |
| Type | Machine Learning |
| License | GNU General Public License |
| Website | http://moa.cms.waikato.ac.nz/ |
MOA (Massive Online Analysis) is a free open-source software specific for mining data streams with concept drift.[1]. It's written in Java and developed at the University of Waikato, New Zealand.
Description
MOA contains several collections of machine learning algorithms ( classification, regression, clustering, outlier detection and recommender systems). These algorithms are designed for large scale machine learning, dealing with concept drift, and big data streams in real time.
MOA supports bi-directional interaction with Weka (machine learning). MOA is free software released under the GNU GPL.
References
- ^ Bifet, Albert; Holmes, Geoff; Kirkby, Richard; Pfahringer, Bernhard (2010). "Moa: Massive online analysis". The Journal of Machine Learning Research. 99: 1601–1604.