The Weka Workbench. Online Appendix for “Data Mining: Practical Machine Learning Tools and Techniques” Morgan Kaufmann, Fourth Edition, 2016

by Eibe Frank, Mark A. Hall, Ian H. Witten

128 pages, ebook

First published January 1, 2016

Reviews

[Kai Weber · Rating 3 out of 5]

This appendix is a good companion when you need to bridge the gap between Data Mining: Practical Machine Learning Tools and Techniques and the Weka software package for practical experimentation and implementation of machine learning tasks. It introduces all important parts of the graphical user interface and ends with a small sample project for implementing a new Java program using the Weka library.