MOA – software environment for data stream mining

MOA (Massive Online Analysis) is a popular open source for software environment for implementing algorithms and running experiments for online learning from evolving data streams.

It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

MOA supports bi-directional interaction with WEKA, the Waikato Environment for Knowledge Analysis, which is an award-winning open-source workbench containing implementations of a wide range of batch machine learning methods.

The software is developed in the Java programming language.

Features include:

  • Classification:
    • Bayesian classifiers.
      • Naive Bayes.
        Naive Bayes Multinomial.
    •  Decision trees classifiers:
      • Decision Stump.
      • Hoeffding Tree.
      • Hoeffding Option Tree.
      • Hoeffding Adaptive Tree.
    •  Meta classifiers:
      • Bagging.
      • Boosting.
      • Bagging using ADWIN.
      • Bagging using Adaptive-Size Hoeffding Trees.
      • Perceptron Stacking of Restricted Hoeffding Trees.
      • Leveraging Bagging.
      • Online Accuracy Updated Ensemble.
    • Function classifiers:
      • Perceptron.
      • Stochastic gradient descent (SGD).
      • Pegasos.
    •  Drift classifiers.
      • Self-Adjusting Memory.
      • Probabilistic Adaptive Windowing.
    •  Multi-label classifiers.
    • Active learning classifiers .
  •  Regression.
    • FIMTDD.
    • AMRules.
  • Clustering.
    • StreamKM++.
    • CluStream.
    • ClusTree.
    • D-Stream.
    • CobWeb.
  • Outlier detection.
    • STORM.
    • Abstract-C.
    • COD.
    • MCOD.
    • AnyOut.
  • Recommender systems.
    • BRISMFPredictor.
  • Frequent pattern mining.
    • Itemsets.
    • Graphs.
  • Change detection algorithms.

Support: Documentation, Mailing List (Users), Mailing List (Developers), GitHub Code Repository
Developer: University of Waikato
License: GNU General Public License v3.0

MOA is written in Java. Learn Java with our recommended free books and free tutorials.

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