Massive Online Analysis (MOA)

A framework for data stream mining including machine learning algorithms such as classification, regression, clustering, outlier detection, concept drift detection and recommender systems and tools for evaluation

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Overview

MOA (Massive Online Analysis) is an open source framework for data stream mining including machine learning algorithms such as classification, regression, clustering, outlier detection, concept drift detection and recommender systems and tools for evaluation. MOA is written in Java and relates to WEKA project.

MOA allows to build and run experiments of machine learning or data mining on evolving data streams. It is also possible to use WEKA classifiers from MOA, and MOA classifiers and streams from WEKA.

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Platform

 

Social

     

System Requirements

Not available, but hey, you could help!

Ratings

Not available, but hey, you could help!

Developer

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, University of Waikato, Contributors

Written in

Java

Initial Release

28 June 2009

License

GPL v3


Notes

  • Release after thesis-release is counted as initial release.