A VISUAL DATA MINING APPROACH FOR GEO-DATA SELECTION IN INVISIP

The paper focuses on data selection issue that characterises the process of geo-data access. We present an approach to analyse geographic metadata: it is based on the integration of visual exploration techniques, graphical interaction and an automatic data mining method - clustering. The proposed approach is the final result of a research activity performed within a EU-funded project INVISIP, INformation VIsualisation in SIte Planning, IST-2000-29640.

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