Algorithms for association rule mining — a general survey and comparison
Author:
Affiliation:
1. Wilhelm Schickard-Institute, University of TObingen, 72076 Tübingen, Germany
2. DaimlerChrysler AG, Research & Technology, FT3/AD, 89081 UIm, Germany
Publisher
Association for Computing Machinery (ACM)
Reference27 articles.
1. Mining association rules between sets of items in large databases
2. An efficient algorithm to update large itemsets with early pruning
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