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We provide a general framework for learning characterization
rules of a set of objects in Geographic Information Systems (GIS) relying
on the definition of distance quantified paths. Such expressions specify
how to navigate between the different layers of the GIS starting from
the target set of objects to characterize. We have defined a generality
relation between quantified paths and proved that it is monotonous with
respect to the notion of coverage, thus allowing to develop an interactive
and effective algorithm to explore the search space of possible rules. We
describe GISMiner, an interactive system that we have developed based
on our framework. Finally, we present our experimental results from a
real GIS about mineral exploration.
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