Advances in frequent itemset mining implementations
Author:
Affiliation:
1. University of Helsinki, Finland
2. Rensselaer Polytechnic Institute, Troy, New York
Publisher
Association for Computing Machinery (ACM)
Reference36 articles.
1. Towards long pattern generation in dense databases
2. Depth first generation of long patterns
3. Mining association rules between sets of items in large databases
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