The Moa (another native NZ bird like WEKA) is not only flightless, like the Weka, but also extinct.
Massive On-line Analysis is an environment for massive data mining.
MOA is a framework for data stream mining.
Includes tools for evaluation and a collection of
machine learning algorithms. Related to the WEKA project, also written
in Java, while scaling to more demanding problems.
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MOA Data Stream Mining [pdf]
MOA Manual [pdf]
Bi-directional interaction of MOA with WEKA
Until now, MOA and WEKA have been independent systems. Now it is possible to use WEKA classifiers from MOA, and MOA classifiers and streams from WEKA.
Data Sources or Streams
ARFF Reader, Random Tree Generator, SEA Concepts Generator, STAGGER Concepts Generator, Rotating Hyperplane, Random RBF Generator, LED Generator, Waveform Generator, and Function Generator.
Classifiers
Naive Bayes, Decision Stump, Hoeffding Tree, Hoeffding Option Tree, Bagging, Boosting, Bagging using ADWIN, Bagging using Adaptive-Size Hoeffding Trees.
Evaluation procedures for Data Streams
Holdout and Interleaved Test-Then-Train or Prequential