C4.5: programs for machine learning
C4.5: programs for machine learning
Tabled evaluation with delaying for general logic programs
Journal of the ACM (JACM)
Fast discovery of association rules
Advances in knowledge discovery and data mining
Logical settings for concept-learning
Artificial Intelligence
Query flocks: a generalization of association-rule mining
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ALT '95 Proceedings of the 6th International Conference on Algorithmic Learning Theory
Lookahead and Discretization in ILP
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Top-down induction of first-order logical decision trees
Artificial Intelligence
Segment Order Preserving and Generational Garbage Collection for Prolog
PADL '02 Proceedings of the 4th International Symposium on Practical Aspects of Declarative Languages
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
Multi Query Optimization Using Query Pack Trees
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Application of Pruning Techniques for Propositional Learning to Progol
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Efficient Cross-Validation in ILP
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
From Shell Logs to Shell Scripts
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Learning in BDI multi-agent systems
CLIMA IV'04 Proceedings of the 4th international conference on Computational Logic in Multi-Agent Systems
Multi-Dimensional Relational Sequence Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
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Inductive logic programming systems usually send large numbers of queries to a database. The lattice structure from which these queries are typically selected causes many of these queries to be highly similar. As a consequence, independent execution of all queries may involve a lot of redundant computation. We propose a mechanism for executing a hierarchically structured set of queries (a "query pack") through which a lot of redundancy in the computation is removed. We have incorporated our query pack execution mechanism in the ILP systems TILDE and WARMR by implementing a new Prolog engine ILPROLOG which provides support for pack execution at a lower level. Experimental results demonstrate significant efficiency gains. Our query pack execution mechanism is very general in nature and could be incorporated in most other ILP systems, with similar efficiency improvements to be expected.