Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Multi-relational data mining: an introduction
ACM SIGKDD Explorations Newsletter
The Description Logic Handbook
The Description Logic Handbook
MrCAR: A Multi-relational Classification Algorithm Based on Association Rules
WISM '09 Proceedings of the 2009 International Conference on Web Information Systems and Mining
Mining interesting sets and rules in relational databases
Proceedings of the 2010 ACM Symposium on Applied Computing
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
AL-QuIn: An Onto-Relational Learning System for Semantic Web Mining
International Journal on Semantic Web & Information Systems
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Available domain ontologies are increasing over the time. However there is a huge amount of data stored and managed with RDBMS. We propose a method for learning association rules from both sources of knowledge in an integrated way. The extracted patterns can be used for performing: data analysis, knowledge completion, ontology refinement.