Len Feremans

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Event Sequences

Anomaly Detection

Mining Frequent

State Transitions

Top Venues

Data Min. Knowl. Discov.

Publications

Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke
Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. SDM (2024)
Len Feremans, Boris Cule, Bart Goethals
Efficient pattern-based anomaly detection in a network of multivariate devices. CoRR (2023)
Stijn J. Rotman, Boris Cule, Len Feremans
Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. BigData (2023)
Len Feremans, Robin Verachtert, Bart Goethals
A Neighbourhood-based Location- and Time-aware Recommender System. ORSUM@RecSys (2022)
Len Feremans, Boris Cule, Bart Goethals
PETSC: pattern-based embedding for time series classification. Data Min. Knowl. Discov. 36 (3) (2022)
Len Feremans, Boris Cule, Celine Vens, Bart Goethals
Combining instance and feature neighbours for extreme multi-label classification. Int. J. Data Sci. Anal. 10 (3) (2020)
Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals
Pattern-Based Anomaly Detection in Mixed-Type Time Series. ECML/PKDD (1) (2019)
Boris Cule, Len Feremans, Bart Goethals
Efficiently mining cohesion-based patterns and rules in event sequences. Data Min. Knowl. Discov. 33 (4) (2019)
Len Feremans, Vincent Vercruyssen, Wannes Meert, Boris Cule, Bart Goethals
A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs. NFMCP@PKDD/ECML (2019)
Len Feremans, Boris Cule, Bart Goethals
Quantile-based Cohesive Sequential Patterns. SDM (2018)
Len Feremans, Boris Cule, Celine Vens, Bart Goethals
Combining Instance and Feature Neighbors for Efficient Multi-label Classification. DSAA (2017)
Boris Cule, Len Feremans, Bart Goethals
Efficient Discovery of Sets of Co-occurring Items in Event Sequences. ECML/PKDD (1) (2016)