Classifying data points using Massive Online Analysis (MOA)

Massive Online Analysis or MOA is related to Weka, but it comes with more scalability. It is a notable Java workbench for data stream mining. With a strong community in place, MOA has implementations of classification, clustering, regression, concept drift identification, and recommender systems. Among other key advantages of MOA are its capability of being extended by the developers and its capacity of having bi-directional interactions with Weka.

Getting ready

In order to perform this recipe, we would require the following:

  1. MOA can be downloaded from https://sourceforge.net/projects/moa-datastream/, which eventually is accessible from the MOA getting started webpage at http://moa.cms.waikato.ac.nz/getting-started/ ...

Get Java Data Science Cookbook now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.