Association Rule Mining Considering Local Frequent Patterns with Temporal Intervals

@inproceedings{Yin2014AssociationRM,
  title={Association Rule Mining Considering Local Frequent Patterns with Temporal Intervals},
  author={Kuo-Cheng Yin and Yu-Lung Hsieh and Don-Lin Yang and Ming-Chuan Hung},
  year={2014}
}
In traditional association rule mining algorithms, if the minimum support is set too high, many valuable rules will be lost. However, if the value is set too low, then numerous trivial rules will be gen erated. To overcome the difficulty of setting minimum support values, global and local patterns are mined herein. Owing to the temporal factor in association rule mining, an itemset may not occur frequently in the entire dataset (meaning that it is not a global p attern), but it may appear… CONTINUE READING

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