Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes

Using Background Knowledge to Build Multistrategy Learners

Machine Learning - Special issue on multistrategy learning

An extended transformation approach to inductive logic programming

ACM Transactions on Computational Logic (TOCL) - Special issue devoted to Robert A. Kowalski

Relational data mining applications: an overview

Relational Data Mining

Feature construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes

Data Mining and Knowledge Discovery

Propositionalisation and Aggregates

PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery

Toward Genomic Hypothesis Creator: View Designer for Discovery

DS '98 Proceedings of the First International Conference on Discovery Science

Aggregation-based feature invention and relational concept classes

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Biological applications of multi-relational data mining

ACM SIGKDD Explorations Newsletter

Propositionalization-based relational subgroup discovery with RSD

Machine Learning

Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves

Machine Learning

Spatial associative classification: propositional vs structural approach

Journal of Intelligent Information Systems

Relational Data Mining Applied to Virtual Engineering of Product Designs

Inductive Logic Programming

Multi-Relational Data Mining

Proceedings of the 2005 conference on Multi-Relational Data Mining

View learning for statistical relational learning: with an application to mammography

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Combining clauses with various precisions and recalls to produce accurate probabilistic estimates

ILP'07 Proceedings of the 17th international conference on Inductive logic programming

Improving multiclass ILP by combining partial rules with winnow algorithm: results on classification of dopamine antagonist molecules

JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence

An integrated approach to learning bayesian networks of rules

ECML'05 Proceedings of the 16th European conference on Machine Learning

Local patterns: theory and practice of constraint-based relational subgroup discovery

LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection