论文信息 - Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement

Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement

In this paper, we introduce Backward Time Related Association Rule Mining using Genetic Network Programming (GNP) with Database Rearrangement in order to find time related sequential association from time related databases effectively and efficiently. The proposed algorithm and experimental results are described using a traffic prediction problem.

Shingo Mabu | Kotaro Hirasawa | Kaoru Shimada | Huiyu Zhou

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