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[ . . . ]
Category: Publications
A tool for subjective and interactive visual data exploration
Bo Kang, Kai Puolamäki, Jefrey Lijffijt, and Tijl De Bie. A tool for subjective and interactive visual data exploration. Proceedings of the European Conference on Machine Learning and Principles and[ . . . ]
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[ . . . ]
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”. To appear in International Journal of Data Science and Analytics (JDSA).[ . . . ]
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. Technical report, arXiv:1511.08762 [cs.LG], 2015. (arxiv, pdf)
Interactively exploring supply and demand in the UK independent music scene
Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Tijl De Bie. Interactively exploring supply and demand in the UK independent music scene. Machine Learning and Knowledge Discovery in Databases. Volume 9286 of[ . . . ]
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[ . . . ]
Subjective interestingness of subgraph patterns
Matthijs van Leeuwen, Tijl De Bie, Eirini Spyropoulou, and Cédric Mesnage. Subjective interestingness of subgraph patterns. Machine Learning 105, no. 1 (2016): 41-75. (springer)
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[ . . . ]