Automatic Classification of Location Contexts with Decision Trees
Maribel Yasmina Santos, Adriano Moreira · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2006
Abstract. Location contexts are geographic regions, with well defined bounda-ries, that can be used to characterize the context of the persons lying inside them. In this paper we describe a process that exploits the increasing availabil-ity of geographic data to automatically create and classify location contexts. The proposed process generates new geographic regions from a database of Points Of Interest through the use of spatial clustering techniques, and classifies them automatically using a decision tree based method. Some preliminary re-sults demonstrate the validity of this approach, while suggesting that a richer geographic database could produce location contexts of higher quality. 1