Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining
- 2 September 2002
- book chapter
- Published by Springer Nature
- p. 110-124
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Using Condensed Representations for Interactive Association Rule Mining2002
- Concise Representations of Association Rules2002
- Towards the Tractable Discovery of Association Rules with Negations2001
- Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets2000
- Mining frequent patterns with counting inferenceACM SIGKDD Explorations Newsletter, 2000
- Approximation of Frequency Queries by Means of Free-Sets2000
- Efficient mining of association rules using closed itemset latticesInformation Systems, 1999
- Modeling KDD Processes within the Inductive Database FrameworkLecture Notes in Computer Science, 1999
- A database perspective on knowledge discoveryCommunications of the ACM, 1996
- An information theoretic approach to rule induction from databasesIEEE Transactions on Knowledge and Data Engineering, 1992