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Communication Dans Un Congrès Année : 2007

Data analysis using GIS and data mining.

Résumé

Recently, many commercial Geographical Information Systems (GISs) have been developed. Their functions are quickly growing up. Researchers and policymakers can input environmental data to a GIS system to gain spatial analysis result which can show up how data are geographically dispersed. Besides, the data mining and data warehouse technologies can automatically mine hidden knowledge and analyze/extract knowledge from raw data, respectively. If we can put them in use with GIS, the hidden meanings or rules embedded in the environmental data can be then more deeply and precisely uncovered. In this paper, we will discuss how to use the two data analytical tools, GIS and data mining, to analyze the data collected for the Situn district so that researchers can realize some facts that can not be superficially obtained from raw data.
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Dates et versions

halshs-00516476 , version 1 (10-06-2014)

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  • HAL Id : halshs-00516476 , version 1

Citer

F.-Y. Leu, T.-H. Wang. Data analysis using GIS and data mining.. In International Conference of Territorial Intelligence, Sep 2006, Alba Iulia, Romania. p. 231-237. ⟨halshs-00516476⟩
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