Hands-on Introduction to MOA

  • Bifet A
  • Gavaldà R
  • Holmes G
  • et al.
N/ACitations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free