On efficiently summarizing categorical databases

  title={On efficiently summarizing categorical databases},
  author={Jianyong Wang and George Karypis},
  journal={Knowledge and Information Systems},
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its application to transaction or document clustering. However, most of the frequent itemset based clustering algorithms need to first mine a large intermediate set of frequent itemsets in order to identify a subset of the most promising ones that can be used for clustering. In this paper, we study how to directly find a… CONTINUE READING
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