Mining frequent patterns with counting inference
- 1 December 2000
- journal article
- Published by Association for Computing Machinery (ACM) in ACM SIGKDD Explorations Newsletter
- Vol. 2 (2) , 66-75
- https://doi.org/10.1145/380995.381017
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Mining Minimal Non-redundant Association Rules Using Frequent Closed ItemsetsPublished by Springer Nature ,2000
- Mining frequent patterns without candidate generationPublished by Association for Computing Machinery (ACM) ,2000
- Mining the most interesting rulesPublished by Association for Computing Machinery (ACM) ,1999
- Efficient mining of association rules using closed itemset latticesInformation Systems, 1999
- Efficiently mining long patterns from databasesPublished by Association for Computing Machinery (ACM) ,1998
- Beyond Market Baskets: Generalizing Association Rules to Dependence RulesData Mining and Knowledge Discovery, 1998
- Dynamic itemset counting and implication rules for market basket dataPublished by Association for Computing Machinery (ACM) ,1997
- Beyond market basketsPublished by Association for Computing Machinery (ACM) ,1997
- An effective hash-based algorithm for mining association rulesPublished by Association for Computing Machinery (ACM) ,1995
- Mining association rules between sets of items in large databasesPublished by Association for Computing Machinery (ACM) ,1993