Project-specific Characteristics Reduction to Reduce Processing Time for Sub-classification Analysis of Smart Community Projects Using Data Mining Techniques
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Abstract
Smart City projects have a large number of project-specific characteristics to be used in the analysis for classifying smart-project types. The processing time depends on the quantity of project-specific characteristics used in the analysis. This research investigated the correlation of project-specific characteristics, using data mining techniques, and selected essential project-specific characteristics for the analysis in order to reduce the processing time. The results showed that the quantity of project-specific characteristics was reduced by 33.65%, the processing time was reduced by 28.53%, while accuracy decreased by 1.17%.
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