An introduction to the WEKA data mining system

Authors:
Zdravko Markov;Ingrid Russell
Affiliations:
Central Connecticut State University, New Britain, CT;University of Hartford, West Hartford, CT
Venue:
Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education
Year:
2006

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Abstract

This is a proposal for a half day tutorial on Weka, an open source Data Mining software package written in Java and available from www.cs.waikato.ac.nz/~ml/weka/index.html. The goal of the tutorial is to introduce faculty to the package and to the pedagogical possibilities for its use in the undergraduate computer science and engineering curricula. The Weka system provides a rich set of powerful Machine Learning algorithms for Data Mining tasks, some not found in commercial data mining systems. These include basic statistics and visualization tools, as well as tools for pre-processing, classification, and clustering, all available through an easy to use graphical user interface.