Tertius extension to Weka

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.