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Introducing machine learning concepts with WEKA.

Abstract
This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.
Type
Chapter in Book
Type of thesis
Series
Citation
Smith, T. C., & Frank, E. (2016). Introducing machine learning concepts with WEKA. (Vol. 1418, pp. 353–378). New York, NY, USA. https://doi.org/10.1007/978-1-4939-3578-9_17
Date
2016
Publisher
Degree
Supervisors
Rights
© Springer Science+Business Media New York 2016.This is the author's accepted version. The final publication is available at Springer via dx.doi.org/10.1007/978-1-4939-3578-9_17