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. International Journal of Data Science and Analytics. (in press)

By tijldebie at 02/02/2016 - 12:08

News

Covid Spring Symposium
Multiple vacancies (fully funded PhD studentships and postdoc positions)
Vacancy: postdoc position on ERC & Odysseus projects
ERC Consolidator Grant FORSIED

Projects

Statistical foundations of data mining
Music information retrieval
Machine learning
Bioinformatics
Web and text mining

Selected Publications

Informative Data Projections: A Framework and Two Examples
Subjective interestingness of subgraph patterns
P-N-RMiner: A Generic Framework for Mining Interesting Structured Relational Patterns
Subjectively interesting alternative clusterings
Interesting pattern mining in multi-relational data
Automatic Chord Estimation from Audio: a Review of the State of the Art
Understanding effects of subjectivity in measuring chord estimation accuracy
Knowledge discovery interestingness measures based on unexpectedness
CCA and Multi-way Extension for Investigating Common Components Between Audio, Lyrics and Tags
An end-to-end machine learning system for harmonic analysis of music
An Information Theoretic Framework for Data Mining

Research homepage - Tijl De Bie

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

News

Projects

Selected Publications