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Genetic network programming (GNP)‐based time‐related association rules mining method provides a useful mean to investigate future traffic volume of road networks and hence helps us to develop traffic navigation system. Further improvements have been proposed in this paper about the time‐related association rule mining using generalized GNP with multibranches and full‐paths (MBFP) algorithm. For fully...
Genetic Network Programming(GNP) based time related association rules mining method provides an useful mean to investigate future traffic volumes of road networks and hence helps to develop traffic navigation systems. Further improvements have been proposed in this paper about the time related association rule mining using generalized GNP with Accuracy Validation. For better adapting to the real-time...
Time Related Association rule mining is a kind of sequence pattern mining for sequential databases. In this paper, a method of Generalized Association Rule Mining using Genetic Network Programming (GNP) with MBFP(Multi-Branch and Full-Pathes) processing mechanism has been introduced in order to find time related sequential rules more efficiently. GNP represents solutions as directed graph structures,...
Time related association rule mining is a kind of sequence pattern mining for sequential databases. In this paper, a generalized class association rule mining is proposed using genetic network programming (GNP) in order to find time related sequential rules more efficiently. GNP has been applied to generate the candidates of the time related association rules as a tool. For fully utilizing the potential...
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