Mining Large Itemsets for Association Rules

نویسندگان

  • Charu C. Aggarwal
  • Philip S. Yu
چکیده

This paper provides a survey of the itemset method for association rule generation. The paper discusses past research on the topic and also studies the relevance and importance of the itemset method in generating association rules. We discuss a number of variations of the association rule problem which have been proposed in the literature and their practical applications. Some inherent weaknesses of the large itemset method for association rule generation have been explored. We also discuss some other formulations of associations which can be viable alternatives to the traditional association rule generation method.

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عنوان ژورنال:
  • IEEE Data Eng. Bull.

دوره 21  شماره 

صفحات  -

تاریخ انتشار 1998