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This article proposes a methodology to discover patterns in observed climatologic data, particularly temperatures and rainfall, in subnational political division units using an automatic classification algorithm (a decision tree produced by the C4.5 algorithm). Thus, the patterns represent classification trees, assuming that: (1) every political division unit contains at least one climatological station,...
This paper presents CT4RDD (classification trees for research on digital divide), a novel methodology for the quantitative analysis and modeling of the digital divide phenomenon with an approach of single country. It is inspired on the reputed Quinlan’s C4.5 algorithm to automatically produce classification trees, as implemented in Witten & Frank’s WEKA software toolkit. The methodology is created...
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