Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today’s Approaches
- 1 January 2000
- book chapter
- Published by Springer Nature
- p. 159-168
- https://doi.org/10.1007/3-540-45372-5_16
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
- Constraint-based rule mining in large, dense databasesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- A new algorithm for faster mining of generalized association rulesPublished by Springer Nature ,1998
- Dynamic itemset counting and implication rules for market basket dataPublished by Association for Computing Machinery (ACM) ,1997
- Parallel Algorithms for Discovery of Association RulesPublished by Springer Nature ,1997
- Mining association rules between sets of items in large databasesPublished by Association for Computing Machinery (ACM) ,1993