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26 avril 2016
- handle: 10670/1.jjbea7
- hal: hal-01340761
- doi: 10.5220/0005914202010206
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info:eu-repo/semantics/altIdentifier/doi/10.5220/0005914202010206
Mots-clés
Class Association Rules Sequential Association Rules Association Rules Prediction Spatial DynamicsSujets proches
Group dynamics Association Groups, SocialCiter ce document
Asma Gharbi et al., « Towards Association Rules as a Predictive Tool for Geospatial Areas Evolution », HAL-SHS : géographie, ID : 10.5220/0005914202010206
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Résumé
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.