Machine Learning - special issue on inductive logic programming
Separate-and-Conquer Rule Learning
Artificial Intelligence Review
Approximate Match of Rules Using Backpropagation Neural Networks
Machine Learning
Three companions for data mining in first order logic
Relational Data Mining
Inducing classification and regression trees in first order logic
Relational Data Mining
How to upgrade propositional learners to first order logic: case study
Relational Data Mining
Data Mining and Knowledge Discovery
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
Multi-Relational Data Mining, Using UML for ILP
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Learning Structural Knowledge from the ECG
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
How to Upgrade Propositional Learners to First Order Logic: A Case Study
Machine Learning and Its Applications, Advanced Lectures
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Experiments in Predicting Biodegradability
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition
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
Efficient algorithms for decision tree cross-validation
The Journal of Machine Learning Research
Query transformations for improving the efficiency of ilp systems
The Journal of Machine Learning Research
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Kernels and Distances for Structured Data
Machine Learning
Qualitative comparison of graph-based and logic-based multi-relational data mining: a case study
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Comparison of graph-based and logic-based multi-relational data mining
ACM SIGKDD Explorations Newsletter
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
Efficient and Scalable Induction of Logic Programs Using a Deductive Database System
Inductive Logic Programming
Multirelational classification: a multiple view approach
Knowledge and Information Systems
A Learning Classifier System Approach to Relational Reinforcement Learning
Learning Classifier Systems
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Exploiting Inductive Logic Programming Techniques for Declarative Process Mining
Transactions on Petri Nets and Other Models of Concurrency II
Integrating explanatory and descriptive learning in ILP
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Improving the efficiency of inductive logic programming through the use of query packs
Journal of Artificial Intelligence Research
Declarative specification and verification of service choreographiess
ACM Transactions on the Web (TWEB)
Integrating induction and abduction in logic programming
Information Sciences: an International Journal
The subsumption lattice and query learning
Journal of Computer and System Sciences
Inducing declarative logic-based models from labeled traces
BPM'07 Proceedings of the 5th international conference on Business process management
Applying inductive logic programming to process mining
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
RedTrees: A relational decision tree algorithm in streams
Expert Systems with Applications: An International Journal
Probabilistic declarative process mining
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Towards clausal discovery for stream mining
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Learning multi-class theories in ILP
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Learning discriminant rules as a minimal saturation search
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
A distance-based approach for action recommendation
ECML'05 Proceedings of the 16th European conference on Machine Learning
Learning rules from multisource data for cardiac monitoring
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
CLASSIC'CL: an integrated ILP system
DS'05 Proceedings of the 8th international conference on Discovery Science
Artificial Intelligence in Medicine
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