2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions.
CoRR, February, 2025
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection.
CoRR, January, 2025
2024
Cross-Domain Graph Level Anomaly Detection.
IEEE Trans. Knowl. Data Eng., December, 2024
A Survey on Explainable Anomaly Detection.
ACM Trans. Knowl. Discov. Data, January, 2024
Directional anomaly detection.
CoRR, 2024
Explainable Graph Neural Networks Under Fire.
CoRR, 2024
Probabilistic Truly Unordered Rule Sets.
CoRR, 2024
Conditional Density Estimation with Histogram Trees.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Graph Neural Networks based Log Anomaly Detection and Explanation.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024
2023
Evaluating Cluster-Based Synthetic Data Generation for Blood-Transfusion Analysis.
J. Cybersecur. Priv., December, 2023
Explainable contextual anomaly detection using quantile regression forests.
Data Min. Knowl. Discov., November, 2023
Unsupervised discretization by two-dimensional MDL-based histogram.
Mach. Learn., July, 2023
Graph Neural Network based Log Anomaly Detection and Explanation.
CoRR, 2023
WEARDA: recording wearable sensor data for human activity monitoring.
CoRR, 2023
Robust and Explainable Contextual Anomaly Detection using Quantile Regression Forests.
CoRR, 2023
Discovering Rule Lists with Preferred Variables.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Discovering Diverse Top-K Characteristic Lists.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2022
Feature Selection for Fault Detection and Prediction based on Event Log Analysis.
SIGKDD Explor., 2022
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks.
J. Am. Medical Informatics Assoc., 2022
Robust subgroup discovery.
Data Min. Knowl. Discov., 2022
Truly Unordered Probabilistic Rule Sets for Multi-class Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Histogram-based Probabilistic Rule Lists for Numeric Targets (short paper).
Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), 2022
2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2021
Online summarization of dynamic graphs using subjective interestingness for sequential data.
Data Min. Knowl. Discov., 2021
Robust subgroup discovery.
CoRR, 2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling.
CoRR, 2021
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
2020
Discovering subjectively interesting multigraph patterns.
Mach. Learn., 2020
Interpretable multiclass classification by MDL-based rule lists.
Inf. Sci., 2020
Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Widening for MDL-Based Retail Signature Discovery.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Vouw: Geometric Pattern Mining Using the MDL Principle.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
2019
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1).
ACM Trans. Knowl. Discov. Data, 2019
Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019
2018
Identifying flight delay patterns using diverse subgroup discovery.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Multi-fidelity surrogate model approach to optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Semiring Rank Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2017
Relational data factorization.
Mach. Learn., 2017
Flexible constrained sampling with guarantees for pattern mining.
Data Min. Knowl. Discov., 2017
Explaining Deviating Subsets Through Explanation Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Learning What Matters - Sampling Interesting Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
2016
Subjective interestingness of subgraph patterns.
Mach. Learn., 2016
Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.
Bioinform., 2016
Evolving the structure of Evolution Strategies.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Expect the Unexpected - On the Significance of Subgroups.
Proceedings of the Discovery Science - 19th International Conference, 2016
Local subspace-based outlier detection using global neighbourhoods.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Association Discovery in Two-View Data.
IEEE Trans. Knowl. Data Eng., 2015
Same bang, fewer bucks: efficient discovery of the cost-influence skyline.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
VIPER - Visual Pattern Explorer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Rank Matrix Factorisation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
An Exercise in Declarative Modeling for Relational Query Mining.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015
Finding Subspace Clusters Using Ranked Neighborhoods.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Interactive Data Exploration Using Pattern Mining.
Proceedings of the Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014
Description-Driven Community Detection.
ACM Trans. Intell. Syst. Technol., 2014
Interactive Learning of Pattern Rankings.
Int. J. Artif. Intell. Tools, 2014
Estimating the pattern frequency spectrum inside the browser.
CoRR, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Fast Estimation of the Pattern Frequency Spectrum.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Mining and Using Sets of Patterns through Compression.
Proceedings of the Frequent Pattern Mining, 2014
2013
Discovering Skylines of Subgroup Sets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Interactive Discovery of Interesting Subgroup Sets.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
Active Preference Learning for Ranking Patterns.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
2012
Diverse subgroup set discovery.
Data Min. Knowl. Discov., 2012
Improving Tag Recommendation Using Few Associations.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012
Mining Local Staircase Patterns in Noisy Data.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
2011
Krimp: mining itemsets that compress.
Data Min. Knowl. Discov., 2011
Characterizing Uncertain Data using Compression.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Non-redundant Subgroup Discovery in Large and Complex Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
2010
Maximal exceptions with minimal descriptions.
Data Min. Knowl. Discov., 2010
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach.
Proceedings of the ICDM 2010, 2010
2009
Identifying the components.
Data Min. Knowl. Discov., 2009
Compressing tags to find interesting media groups.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
StreamKrimp: Detecting Change in Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
2007
Characterising the difference.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Preserving Privacy through Data Generation.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
2006
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006
Compression Picks Item Sets That Matter.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
2002
Evolving Vision-Based Flying Robots.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002