Georeferenced information is growing every day, and geographical information systems are becoming crucial in many decision processes. As a consequence, extracting knowledge from GIS's may have an important impact. The paper presents a general approach for extracting sets of spatial transactions from GIS's, and for applying data mining algorithms to them. As a basic example of the process we present the extraction of spatial association rules from georeferenced data.
Extracting spatial association rules from spatial transactions
Rinzivillo S.
;Turini F.
2005
Abstract
Georeferenced information is growing every day, and geographical information systems are becoming crucial in many decision processes. As a consequence, extracting knowledge from GIS's may have an important impact. The paper presents a general approach for extracting sets of spatial transactions from GIS's, and for applying data mining algorithms to them. As a basic example of the process we present the extraction of spatial association rules from georeferenced data.File in questo prodotto:
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