ACM Transactions on Database Systems (TODS)
Warren's abstract machine: a tutorial reconstruction
Warren's abstract machine: a tutorial reconstruction
C4.5: programs for machine learning
C4.5: programs for machine learning
First-order jk-clausal theories are PAC-learnable
Artificial Intelligence
Tabled evaluation with delaying for general logic programs
Journal of the ACM (JACM)
Machine Learning - special issue on inductive logic programming
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
Top-down induction of first-order logical decision trees
Artificial Intelligence
PROLOG Programming for Artificial Intelligence
PROLOG Programming for Artificial Intelligence
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
A Study of Two Sampling Methods for Analyzing Large Datasets with ILP
Data Mining and Knowledge Discovery
Machine Learning
ECML '93 Proceedings of the European Conference on Machine Learning
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Top-Down Induction of Clustering Trees
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
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
Tractable induction and classification in first order logic via stochastic matching
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Ranking with Predictive Clustering Trees
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Data Mining the Yeast Genome in a Lazy Functional Language
PADL '03 Proceedings of the 5th International Symposium on Practical Aspects of Declarative Languages
Thesis: clustering and instance based learning in first order logic
AI Communications
Efficient algorithms for decision tree cross-validation
The Journal of Machine Learning Research
Scalability and efficiency in multi-relational data mining
ACM SIGKDD Explorations Newsletter
Analyzing & debugging ILP data mining query execution
Proceedings of the sixth international symposium on Automated analysis-driven debugging
Efficient Classification across Multiple Database Relations: A CrossMine Approach
IEEE Transactions on Knowledge and Data Engineering
Learning Horn Expressions with LOGAN-H
The Journal of Machine Learning Research
Fast Frequent Querying with Lazy Control Flow Compilation
Theory and Practice of Logic Programming
k-RNN: k-relational nearest neighbour algorithm
Proceedings of the 2008 ACM symposium on Applied computing
Efficient and Scalable Induction of Logic Programs Using a Deductive Database System
Inductive Logic Programming
Compile the Hypothesis Space: Do it Once, Use it Often
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
HTILDE: scaling up relational decision trees for very large databases
Proceedings of the 2009 ACM symposium on Applied Computing
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Compact representation of knowledge bases in ILP
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Three strategies for concurrent processing of frequent itemset queries using FP-growth
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Seeing the forest through the trees: learning a comprehensible model from a first order ensemble
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Process mining as first-order classification learning on logs with negative events
BPM'07 Proceedings of the 2007 international conference on Business process management
Induction of relational algebra expressions
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
When does it pay off to use sophisticated entailment engines in ILP?
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Data access paths in processing of sets of frequent itemset queries
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Trust alignment: a sine qua non of open multi-agent systems
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
Refining aggregate conditions in relational learning
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
An efficient approximation to lookahead in relational learners
ECML'06 Proceedings of the 17th European conference on Machine Learning
Outlier detection in relational data: A case study in geographical information systems
Expert Systems with Applications: An International Journal
On applying tabling to inductive logic programming
ECML'05 Proceedings of the 16th European conference on Machine Learning
On multiple query optimization in data mining
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
CrossMine: efficient classification across multiple database relations
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Strategies to parallelize ILP systems
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
CLASSIC'CL: an integrated ILP system
DS'05 Proceedings of the 8th international conference on Discovery Science
Frequent pattern discovery from OWL DLP knowledge bases
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Partition-Based approach to processing batches of frequent itemset queries
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
On improving the efficiency and robustness of table storage mechanisms for tabled evaluation
PADL'07 Proceedings of the 9th international conference on Practical Aspects of Declarative Languages
Engineering trust alignment: Theory, method and experimentation
International Journal of Human-Computer Studies
Expressive power of safe first-order logical decision trees
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Compile the Hypothesis Space: Do it Once, Use it Often
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
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Inductive logic programming, or relational learning, is a powerful paradigm for machine learning or data mining. However, in order for ILP to become practically useful, the efficiency of ILP systems must improve substantially. To this end, the notion of a query pack is introduced: it structures sets of similar queries. Furthermore, a mechanism is described for executing such query packs. A complexity analysis shows that considerable efficiency improvements can be achieved through the use of this query pack execution mechanism. This claim is supported by empirical results obtained by incorporating support for query pack execution in two existing learning systems.