Constrained colocation mining
Frédéric Flouvat, Nazha Selmaoui‐Folcher, Dominique Gay, Isabelle Rouet, Chloé Grison · 2010
Spatial data mining has been extensively studied for GIS applications. To deal with a fast increasing of data, investigations for spatial data analysis are needed. In this paper, we propose a spatial data mining approach which adapts the existing colocation concept to characterize soil erosion hazard. In order to manage this task, we put the colocation mining task into a more general framework. Based on this framework, new constraints linked to domain knowledge are pushed into the colocation mining algorithm. Finally, we developed a prototype and lead experiments on real scientific datasets.