Although it was basically presented as an exploratory tool rather than a predictive tool, numerous follow-up researchers have enhanced association rule mining, which contributes in making it a powerful predictive tool. In this context, this paper review the main advances in this datamining technique, then attempts to describe how they can, practically, be harnessed to deal with problems such as the prediction of geographical areas evolution.
['Asma Gharbi', 'Cyril De Runz', 'Sami Faiz', 'Herman Akdag']
Towards Association Rules as a Predictive Tool for Geospatial Areas Evolution