Boolean Feature Discovery in Empirical Learning
Machine Learning
Experimental comparison of human and machine learning formalisms
Proceedings of the sixth international workshop on Machine learning
Rule induction with CN2: some recent improvements
EWSL-91 Proceedings of the European working session on learning on Machine learning
Constructive induction using a non-greedy strategy for feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Using the m-estimate in rule induction
Journal of Computing and Information Technology
A database perspective on knowledge discovery
Communications of the ACM
Theories for mutagenicity: a study in first-order and feature-based induction
Artificial Intelligence - Special volume on empirical methods
Machine Learning - special issue on inductive logic programming
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Robust classification systems for imprecise environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Scalable data mining with model constraints
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
An extended transformation approach to inductive logic programming
ACM Transactions on Computational Logic (TOCL) - Special issue devoted to Robert A. Kowalski
Relational Data Mining
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Inductive logic programming for knowedge discovery in databases
Relational Data Mining
Three companions for data mining in first order logic
Relational Data Mining
Propositionalization approaches to relational data mining
Relational Data Mining
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Machine Learning
Using Rule Sets to Maximize ROC Performance
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
A Learning System for Decision Support in Telecommunications
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Learning Structurally Indeterminate Clauses
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Stochastic Propositionalization of Non-determinate Background Knowledge
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
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
Expert-guided subgroup discovery: methodology and application
Journal of Artificial Intelligence Research
Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
k-RNN: k-relational nearest neighbour algorithm
Proceedings of the 2008 ACM symposium on Applied computing
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection
Expert Systems with Applications: An International Journal
ILP Through Propositionalization and Stochastic k-Term DNF Learning
Inductive Logic Programming
Relational Data Mining Applied to Virtual Engineering of Product Designs
Inductive Logic Programming
ECML '07 Proceedings of the 18th European conference on Machine Learning
CSM-SD: Methodology for contrast set mining through subgroup discovery
Journal of Biomedical Informatics
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Relational Descriptive Analysis of Gene Expression Data
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
Partitional Clustering of Protein Sequences --- An Inductive Logic Programming Approach
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Taming the Complexity of Inductive Logic Programming
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Contrast set mining through subgroup discovery applied to brain ischaemina data
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Exploiting propositionalization based on random relational rules for semi-supervised learning
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Clustering relational data based on randomized propositionalization
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
IEEE Transactions on Fuzzy Systems
Sequential pattern mining in multi-relational datasets
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Collaborative learning with logic-based models
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
A multi-objective evolutionary approach for subgroup discovery
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Constrained sequential pattern knowledge in multi-relational learning
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Relational subgroup discovery for descriptive analysis of microarray data
CompLife'06 Proceedings of the Second international conference on Computational Life Sciences
Searching for rules to detect defective modules: A subgroup discovery approach
Information Sciences: an International Journal
Subgroup discovery using bump hunting on multi-relational histograms
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Predictive sequence miner in ILP learning
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Conceptual clustering of multi-relational data
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Semantic subgroup discovery and cross-context linking for microarray data analysis
Bisociative Knowledge Discovery
Relational differential prediction
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
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Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgroup discovery. This paper proposes a propositionalization approach to relational subgroup discovery, achieved through appropriately adapting rule learning and first-order feature construction. The proposed approach was successfully applied to standard ILP problems (East-West trains, King-Rook-King chess endgame and mutagenicity prediction) and two real-life problems (analysis of telephone calls and traffic accident analysis).