Matthijs van Leeuwen

Orcid: 0000-0002-0510-3549

According to our database1, Matthijs van Leeuwen authored at least 74 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Survey on Explainable Anomaly Detection.
ACM Trans. Knowl. Discov. Data, January, 2024

Probabilistic Truly Unordered Rule Sets.
CoRR, 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

Ranked Tiling.
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
Patterns that matter.
PhD thesis, 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
Item Sets that Compress.
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


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