Analyzing Survey Data Concerning the Construction of Central Taiwan Science Park using Association Rules and Geographical Information Systems.
Résumé
Recently, many data mining techniques have been developed for and deployed by scientific and industrial use to automatically mine, analyze and extract hidden knowledge from raw data given. Among them, association rule, one of the most commonly used ones, is often used to discover relationship between two set of items. Also, commercial Geographical Information Systems (GISs) and their functions have been quickly developed and significantly improved respectively in recent years. Researchers and policymakers can input environmental data to a GIS system to gain spatial analytical results which often show up how data is geographically dispersed. In this paper, we discuss how to apply association rules to analyze surveyed data collected from people living in the Situn district and Dayia village which are two areas surround Central Taiwan Science Park so that researchers can accordingly realize some facts that can not be superficially obtained from raw data concerning the construction of the science park (before and after). The results can be referred to by local and central governments as a reference when making public policies. Besides, if we can input the analytical results to GIS, the hidden meanings or rules embedded in the survey data can be then uncovered more deeply and precisely.
Origine : Fichiers produits par l'(les) auteur(s)
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