Artifacts using MOA: Massive Online Analysis (20)

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The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.

Module that adds MOA support (data streams; online learning). When compiling MOA for upload to Nexus, use the folloing command-line: ant clean dist-minimal

Weka implementation of the Ensemble systems for Weka

mantis-server-worker

mantis-runtime-executor

mantis-runtime-autoscaler-api

SEMOSS

Moalink

service.impl

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and 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. This artifact enables you to use MOA from within WEKA.