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
Artificial Intelligence
Machine Learning
A database perspective on knowledge discovery
Communications of the ACM
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Inductive databases and condensed representations for data mining (extended abstract)
ILPS '97 Proceedings of the 1997 international symposium on Logic programming
WHIRL: a word-based information representation language
Artificial Intelligence - Special issue on Intelligent internet systems
Communications of the ACM
Molecular feature mining in HIV data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
PROLOG Programming for Artificial Intelligence
PROLOG Programming for Artificial Intelligence
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
Feature Construction with Version Spaces for Biochemical Applications
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Discovering All Most Specific Sentences by Randomized Algorithms
ICDT '97 Proceedings of the 6th International Conference on Database Theory
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
Querying Inductive Databases via Logic-Based User-Defined Aggregates
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Incremental Refinement of Mining Queries
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
A Logical Database Mining Query Language
ILP '00 Proceedings of the 10th International Conference 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
The levelwise version space algorithm and its application to molecular fragment finding
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Specifying Mining Algorithms with Iterative User-Defined Aggregates
IEEE Transactions on Knowledge and Data Engineering
Towards a general framework for data mining
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Inductive databases and constraint-based data mining
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Inductive queries on polynomial equations
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
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An inductive database allows one to query not only the data but also the patterns of interest. A novel framework, called RDM, for inductive databases is presented. It is grounded in constraint logic programming. RDM provides a small but powerful set of built-in constraints to query patterns. It is also embedded in the programming language Prolog. In this paper, the semantics of RDM is defined and a solver is presented. The resulting query language allows us to declaratively specify the patterns of interest, the solver then takes care of the procedural aspects.