Abstract
In this chapter, we are going to start using MOA, learn its basics, and run a simple example comparing two classifiers. If you have some background in data mining for the nonstreaming setting, this quick start should let you explore other options, such as clustering and frequent pattern mining. Otherwise, it is probably best to continue with part II which covers these techniques.
Cite
CITATION STYLE
APA
Bifet, A., Gavaldà, R., Holmes, G., & Pfahringer, B. (2020). Hands-on Introduction to MOA. In Machine Learning for Data Streams (pp. 21–32). The MIT Press. https://doi.org/10.7551/mitpress/10654.003.0007
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