Pixel based visual data mining of geo-spatial data

作者: Daniel A. Keim , Christian Panse , Mike Sips , Stephen C. North

DOI: 10.1016/J.CAG.2004.03.022

关键词:

摘要: Abstract In many application domains, data is collected and referenced by its geo-spatial location. Spatial mining, or the discovery of interesting patterns in such databases, an important capability development database systems. A noteworthy trend increasing size sets common use, as records business transactions, environmental census demographics. These often contain millions records, even far more. This situation creates new challenges coping with scale. For mining large to be effective, it also include humans exploration process combine their flexibility, creativity, general knowledge enormous storage capacity computational power today's computers. Visual applies human visual perception sets. Presenting interactive, graphical form fosters insights, encouraging formation validation hypotheses end better problem-solving gaining deeper domain knowledge. this paper we give a short overview techniques, especially for analyzing data. We provide examples effective visualizations areas consumer analysis

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