A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences. - Ruben Franciscus Adrianus Verhaegh; Jacco Johannes Egbert Kiezebrink; Frank Nusteling; Arnaud Wander André Rio; Márton Bendegúz Bendicsek; Wouter Duivesteijn; Rianne Margaretha Schouten (DS, 2022)

Efficient Subgroup Discovery Through Auto-Encoding. - Joost F. van der Haar; Sander C. Nagelkerken; Igor G. Smit; Kjell van Straaten; Janneke A. Tack; Rianne Margaretha Schouten; Wouter Duivesteijn (IDA, 2022)

Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS). - Rianne Margaretha Schouten; Wouter Duivesteijn; Mykola Pechenizkiy (SDM, 2022)

Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions. - Rianne Margaretha Schouten; Marcos L. P. Bueno; Wouter Duivesteijn; Mykola Pechenizkiy (Data Min. Knowl. Discov., 2022)

Dropping Incomplete Records is (not so) Straightforward. - Rianne Margaretha Schouten; Victoria Tascau; Gabriel G. Ziegler; Davide Casano; Marco Ardizzone; Michael-Angelos Erotokritou (IDA, 2023)

Exceptional Subitizing Patterns: Exploring Mathematical Abilities of Finnish Primary School Children with Piecewise Linear Regression. - Rianne Margaretha Schouten; Wouter Duivesteijn; Pekka Räsänen; Jacob M. Paul; Mykola Pechenizkiy (ECML/PKDD (10), 2024)