Tertius extension to Weka

Deltour Amelie

Research output: Working paper


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.
Translated title of the contributionTertius extension to Weka
Original languageEnglish
PublisherUniversity of Bristol
Publication statusPublished - 2001

Bibliographical note

Other page information: -39
Other identifier: 1000568


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