Massive Online Analysis

Massive Online Analysis (MOA) is a free open-source software project specific for data stream mining with concept drift. It is written in Java and developed at the University of Waikato, New Zealand.^[2]

MOA

Developer(s)	University of Waikato
Stable release	24.07.0[1] / 18 July 2024; 9 months ago (18 July 2024)
Repository	github.com/waikato/moa
Operating system	Cross-platform
Type	Machine Learning
License	GNU General Public License
Website	moa.cms.waikato.ac.nz

Description

MOA is an open-source framework software that allows to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the graphical user interface (GUI), the command-line, and the Java API.

MOA contains several collections of machine learning algorithms:

• 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^[3]
    • Probabilistic Adaptive Windowing
  • Multi-label classifiers^[4]
  • Active learning classifiers ^[5]
• Regression
  • FIMTDD^[6]
  • AMRules^[7]
• Clustering^[8]
  • StreamKM++
  • CluStream
  • ClusTree
  • D-Stream
  • CobWeb.
• Outlier detection^[9]
  • STORM
  • Abstract-C
  • COD
  • MCOD
  • AnyOut^[10]
• Recommender systems
  • BRISMFPredictor
• Frequent pattern mining
  • Itemsets^[11]
  • Graphs^[12]
• Change detection algorithms^[13]

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. MOA is free software released under the GNU GPL.

See also

• Free and open-source software portal

• ADAMS Workflow: Workflow engine for MOA and Weka
• Streams: Flexible module environment for the design and execution of data stream experiments
• Vowpal Wabbit
• List of numerical analysis software