Florian Adriaens, Jefrey Lijffijt, and Tijl De Bie. Subjectively interesting connecting trees. In Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases[ . . . ]

# Category: Conference papers

## Direct Mining of Subjectively Interesting Relational Patterns

Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie. Direct Mining of Subjectively Interesting Relational Patterns. Proceedings of the IEEE International Conference on Data Mining (ICDM’16), 2016. (pdf)

## Subjectively interesting component analysis: data projections that contrast with prior expectations

Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez,and Tijl De Bie. Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge[ . . . ]

## Interactive visual data exploration with subjective feedback

Kai Puolamäki, Bo Kang, Jefrey Lijffijt, and Tijl De Bie. Interactive visual data exploration with subjective feedback. Proceedings of the European Conference on Machine Learning and Principles and Practice of[ . . . ]

## Informative data projections: a framework and two examples

Tijl De Bie, Jefrey Lijffijt, Raul Santos Rodriguez, Bo Kang. Informative data projections: a framework and two examples. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and[ . . . ]

## Supply and demand of independent artists in the UK

Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, Tijl De Bie. Supply and demand of independent UK music artists on the web. In Proceedings of the 2015 ACM Conference on[ . . . ]

## P-N-RMiner: A Generic Framework for Mining Interesting Structured Relational Patterns

Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie. P-N-RMiner: A Generic Framework for Mining Interesting Structured Relational Patterns. Proceedings of the 2015 IEEE International Conference on Data Science and Advanced[ . . . ]

## Mining approximate multi-relational patterns

Eirini Spyropoulou and Tijl De Bie. Mining Approximate Multi-Relational Patterns. In Proceedings of the 2014 International Conference on Data Science and Advanced Analytics (DSAA2014), 2014. (preprint)