Fuzzy association rule mining approaches for enhancing prediction performance

作者：

Highlights：

• Two new prediction models are proposed and compared to demonstrate their merits.

• First model is an integration of Fuzzy C-Means (FCM) and the Apriori algorithm.

• Second model is an integration of FCM and the multiple support thresholds approach.

• Models are evaluated using a road traffic data set and Abalone benchmark data set.

摘要

•Two new prediction models are proposed and compared to demonstrate their merits.•First model is an integration of Fuzzy C-Means (FCM) and the Apriori algorithm.•Second model is an integration of FCM and the multiple support thresholds approach.•Models are evaluated using a road traffic data set and Abalone benchmark data set.

论文关键词：Apriori algorithms,Data mining,Fuzzy C-Mean,Knowledge discovery,Prediction,Fuzzy association rules

论文评审过程：Available online 22 June 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.025