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www.cs.waikato.ac.nz/MOA - Cached

This link has been bookmarked by 4 people . It was first bookmarked on 04 Nov 2009, by someone privately.

  • 10 Nov 09
    imrchen
    Roger Chen

    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.

    data mining tools

  • 06 Nov 09
    kubina
    Jeff Kubina

    moa data mining software package

  • 05 Nov 09
    sriks6711
    Srikant Jakilinki

    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.\n\nBi-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.\n\nData 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.\n\nClassifiers: Naive Bayes, Decision Stump, Hoeffding Tree, Hoeffding Option Tree, Bagging, Boosting, Bagging using ADWIN, Bagging using Adaptive-Size Hoeffding Trees.\n\nEvaluation procedures for Data Streams: Holdout and Interleaved Test-Then-Train or Prequential\n\nThe Moa (another native NZ bird like WEKA) is not only flightless, like the Weka, but also extinct.

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