Dynamic itemset counting and implication rules for market basket data
暂无分享,去创建一个
We consider the problem of analyzing market-basket data and present several important contributions. First, we present a new algorithm for finding large itemsets which uses fewer passes over the da...
[1] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[2] Tomasz Imielinski,et al. Database Mining: A Performance Perspective , 1993, IEEE Trans. Knowl. Data Eng..
[3] Jorma Rissanen,et al. SLIQ: A Fast Scalable Classifier for Data Mining , 1996, EDBT.