Sliding window filtering: an efficient method for incremental mining on a time-variant database

@article{Lee2005SlidingWF,
  title={Sliding window filtering: an efficient method for incremental mining on a time-variant database},
  author={Chang-Hung Lee and Cheng-Ru Lin and Ming-Syan Chen},
  journal={Inf. Syst.},
  year={2005},
  volume={30},
  pages={227-244}
}
Recently, several important database applications have called for the design of efficient techniques for incremental mining of association rules. In response to this need, we explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules. In essence, by partitioning a transaction database into several partitions, algorithm SWF employs a filtering threshold in each partition to deal with the candidate itemset generation… CONTINUE READING
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