Journal article

Optimising Rule-Based Classification in Temporal Data

Polla Fattah, Uwe Aickelin, Christian Wagner

ZANCO Journal of Pure and Applied Sciences | Salahaddin University | Published : 2016

Abstract

This study optimises manually derived rule-based expert system classification of objects according to changes in their properties over time. One of the key challenges that this study tries to address is how to classify objects that exhibit changes in their behaviour over time, for example how to classify companies’ share price stability over a period of time or how to classify students’ preferences for subjects while they are progressing through school. A specific case the paper considers is the strategy of players in public goods games (as common in economics) across multiple consecutive games. Initial classification starts from expert definitions specifying class allocation for players bas..

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University of Melbourne Researchers