Efficient Runtime Generation of Association Rules

@inproceedings{Relue2001EfficientRG,
  title={Efficient Runtime Generation of Association Rules},
  author={Richard Relue and Xindong Wu and Hao Huang},
  booktitle={CIKM},
  year={2001}
}
Mining frequent patterns in transaction databases has been a popular subject in data mining research. Common activities include finding patterns in database transactions, times-series, and exceptions. The Apriori algorithm is a widely accepted method of generating frequent patterns. The algorithm can require many scans of the database and can seriously tax resources. New methods of finding association rules, such as the Frequent Pattern Tree (FP-Tree) have improved performance, but still have… CONTINUE READING