The description identification problem
Artificial Intelligence
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A database perspective on knowledge discovery
Communications of the ACM
Machine Learning - special issue on inductive logic programming
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
PROLOG Programming for Artificial Intelligence
PROLOG Programming for Artificial Intelligence
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Learning Logical Definitions from Relations
Machine Learning
Querying Inductive Databases: A Case Study on the MINE RULE Operator
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Mining Association Rules in Multiple Relations
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
An Inductive Logic Programming Query Language for Database Mining
AISC '98 Proceedings of the International Conference on Artificial Intelligence and Symbolic Computation
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Data Mining as Constraint Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Efficient Relational Learning from Sparse Data
AIMSA '02 Proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Demand-Driven Construction of Structural Features in ILP
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
A relational view of pattern discovery
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
A relational query primitive for constraint-based pattern mining
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
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A novel query language for database mining, called RDM, is presented. RDM provides primitives for discovering frequent patterns and association rules, for manipulating example sets, for performing predictive and descriptive induction and for reasoning about the generality of hypotheses. RDM is designed for querying deductive databases and employs principles from inductive logic programming. Therefore RDM allows to query patterns that involve multiple relations as well as background knowledge. The embedding of RDM within a programming language such as PROLOG puts database mining on similar grounds as constraint programming. An operational semantics for RDM is outlined and an efficient algorithm for solving RDM queries is presented. This solver integrates Mitchell's versionspace approach with the well-known APRIORI algorithm by Agrawal et al.