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Tertius extension to Weka

Amelie Deltour, Tertius extension to Weka. CSTR-01-001, Department of Computer Science, University of Bristol. September 2001. PDF, 84 Kbytes.

Abstract

This report is about the training period I did during eight weeks in the Machine Learning Research Group of the University of Bristol. The objective of the project was to add functionality to the Weka machine learning software. I worked on the Tertius algorithm which finds rules from data without a classification attribute. I applied this algorithm to the case of attribute-value rules. I also worked on a multi-table extension in the case of individual-based learning. The program was implemented in Java.

Bibtex entry.

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