Jilles Vreeken

According to our database, Jilles Vreeken authored at least 155 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

All the world's a (hyper)graph: A data drama.

Corinna Coupette, Jilles Vreeken, Bastian Rieck

Digit. Scholarsh. Humanit., 2024

Federated Binary Matrix Factorization using Proximal Optimization.

Sebastian Dalleiger, Jilles Vreeken, Michael Kamp

CoRR, 2024

The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective.

Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp

CoRR, 2024

Succint Interaction-Aware Explanations.

Sascha Xu, Joscha Cüppers, Jilles Vreeken

CoRR, 2024

Data is Moody: Discovering Data Modification Rules from Process Event Logs.

Marco Bjarne Schuster, Boris Wiegand, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Learning Causal Networks from Episodic Data.

Osman Mian, Sarah Mameche, Jilles Vreeken

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence.

Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Identifying Confounding from Causal Mechanism Shifts.

Sarah Mameche, Jilles Vreeken, David Kaltenpoth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

What Are the Rules? Discovering Constraints from Data.

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Finding Interpretable Class-Specific Patterns through Efficient Neural Search.

Nils Philipp Walter, Jonas Fischer, Jilles Vreeken

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Discovering Sequential Patterns with Predictable Inter-event Delays.

Joscha Cüppers, Paul Krieger, Jilles Vreeken

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding and Mitigating Classification Errors Through Interpretable Token Patterns.

Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken

CoRR, 2023

Preserving local densities in low-dimensional embeddings.

Jonas Fischer, Rebekka Burkholz, Jilles Vreeken

CoRR, 2023

Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition.

David Kaltenpoth, Jilles Vreeken

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Why Are We Waiting? Discovering Interpretable Models for Predicting Sojourn and Waiting Times.

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Learning Causal Models under Independent Changes.

Sarah Mameche, David Kaltenpoth, Jilles Vreeken

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns.

Joscha Cüppers, Jilles Vreeken

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Nonlinear Causal Discovery with Latent Confounders.

David Kaltenpoth, Jilles Vreeken

Proceedings of the International Conference on Machine Learning, 2023

Federated Learning from Small Datasets.

Michael Kamp, Jonas Fischer, Jilles Vreeken

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Concept-Aware Large Language Models.

Chen Shani, Jilles Vreeken, Dafna Shahaf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery.

Osman Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments.

Osman Mian, Michael Kamp, Jilles Vreeken

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Identifying Selection Bias from Observational Data.

David Kaltenpoth, Jilles Vreeken

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hyperbard (Code).

Corinna Coupette, Jilles Vreeken, Bastian Rieck

Dataset, June, 2022

Hyperbard (Dataset).

Corinna Coupette, Jilles Vreeken, Bastian Rieck

Dataset, June, 2022

Differentially Describing Groups of Graphs (Paper Replication Code).

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

Dataset, March, 2022

Differentially Describing Groups of Graphs (Paper Replication Code).

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

Dataset, February, 2022

Omen: discovering sequential patterns with reliable prediction delays.

Joscha Cüppers, Janis Kalofolias, Jilles Vreeken

Knowl. Inf. Syst., 2022

Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discovering Invariant and Changing Mechanisms from Data.

Sarah Mameche, David Kaltenpoth, Jilles Vreeken

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Discovering Significant Patterns under Sequential False Discovery Control.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Inferring Cause and Effect in the Presence of Heteroscedastic Noise.

Sascha Xu, Osman Mian, Alexander Marx, Jilles Vreeken

Proceedings of the International Conference on Machine Learning, 2022

Label-Descriptive Patterns and Their Application to Characterizing Classification Errors.

Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken

Proceedings of the International Conference on Machine Learning, 2022

Discovering Interpretable Data-to-Sequence Generators.

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information.

Janis Kalofolias, Jilles Vreeken

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Differentially Describing Groups of Graphs.

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph Similarity Description: How Are These Graphs Similar? (Paper Replication Code).

Corinna Coupette, Jilles Vreeken

Dataset, May, 2021

Formally Justifying MDL-based Inference of Cause and Effect.

Alexander Marx, Jilles Vreeken

CoRR, 2021

Factoring out prior knowledge from low-dimensional embeddings.

Edith Heiter, Jonas Fischer, Jilles Vreeken

CoRR, 2021

Mining Easily Understandable Models from Complex Event Logs.

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

SUSAN: The Structural Similarity Random Walk Kernel.

Janis Kalofolias, Pascal Welke, Jilles Vreeken

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Discovering Reliable Causal Rules.

Kailash Budhathoki, Mario Boley, Jilles Vreeken

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Differentiable Pattern Set Mining.

Jonas Fischer, Jilles Vreeken

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Similarity Description: How Are These Graphs Similar?

Corinna Coupette, Jilles Vreeken

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules.

Jonas Fischer, Anna Oláh, Jilles Vreeken

Proceedings of the 38th International Conference on Machine Learning, 2021

Discovering Fully Oriented Causal Networks.

Osman Mian, Alexander Marx, Jilles Vreeken

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Discovering dependencies with reliable mutual information.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Knowl. Inf. Syst., 2020

What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization.

Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Towards Plausible Graph Anonymization.

Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Discovering Approximate Functional Dependencies using Smoothed Mutual Information.

Frédéric Pennerath, Panagiotis Mandros, Jilles Vreeken

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Discovering Functional Dependencies from Mixed-Type Data.

Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity.

Jonas Fischer, Jilles Vreeken

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays.

Joscha Cüppers, Jilles Vreeken

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Explainable Data Decompositions.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1).

Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos

ACM Trans. Knowl. Discov. Data, 2019

Telling cause from effect by local and global regression.

Alexander Marx, Jilles Vreeken

Knowl. Inf. Syst., 2019

We Are Not Your Real Parents: Telling Causal from Confounded using MDL.

David Kaltenpoth, Jilles Vreeken

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Sets of Robust Rules, and How to Find Them.

Jonas Fischer, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Modern MDL meets Data Mining Insights, Theory, and Practice.

Jilles Vreeken, Kenji Yamanishi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Identifiability of Cause and Effect using Regularized Regression.

Alexander Marx, Jilles Vreeken

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Discovering Reliable Correlations in Categorical Data.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Discovering Robustly Connected Subgraphs with Simple Descriptions.

Janis Kalofolias, Mario Boley, Jilles Vreeken

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Testing Conditional Independence on Discrete Data using Stochastic Complexity.

Alexander Marx, Jilles Vreeken

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Generating Realistic Synthetic Population Datasets.

Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan

ACM Trans. Knowl. Discov. Data, 2018

Origo: causal inference by compression.

Kailash Budhathoki, Jilles Vreeken

Knowl. Inf. Syst., 2018

Causal Discovery by Telling Apart Parents and Children.

Alexander Marx, Jilles Vreeken

CoRR, 2018

JAMI: fast computation of conditional mutual information for ceRNA network analysis.

Andrea Hornáková, Markus List, Jilles Vreeken, Marcel H. Schulz

Bioinform., 2018

Causal Inference on Event Sequences.

Kailash Budhathoki, Jilles Vreeken

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Causal Inference on Multivariate and Mixed-Type Data.

Alexander Marx, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Summarizing Graphs at Multiple Scales: New Trends.

Danai Koutra, Jilles Vreeken, Francesco Bonchi

Proceedings of the IEEE International Conference on Data Mining, 2018

Accurate Causal Inference on Discrete Data.

Kailash Budhathoki, Jilles Vreeken

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery.

Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken

Data Min. Knowl. Discov., 2017

Beyond Pairwise Similarity: Quantifying and Characterizing Linguistic Similarity between Groups of Languages by MDL.

Andrea K. Fischer, Jilles Vreeken, Dietrich Klakow

Computación y Sistemas, 2017

CTRL+Z: Recovering Anonymized Social Graphs.

Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes

CoRR, 2017

Causal Inference on Multivariate Mixed-Type Data by Minimum Description Length.

Alexander Marx, Jilles Vreeken

CoRR, 2017

Causal Inference by Stochastic Complexity.

Kailash Budhathoki, Jilles Vreeken

CoRR, 2017

FACETS: Adaptive Local Exploration of Large Graphs.

Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Correlation by Compression.

Kailash Budhathoki, Jilles Vreeken

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Efficiently Summarising Event Sequences with Rich Interleaving Patterns.

Apratim Bhattacharyya, Jilles Vreeken

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Efficiently Discovering Unexpected Pattern-Co-Occurrences.

Roel Bertens, Jilles Vreeken, Arno Siebes

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Discovering Reliable Approximate Functional Dependencies.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Telling Cause from Effect Using MDL-Based Local and Global Regression.

Alexander Marx, Jilles Vreeken

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups.

Janis Kalofolias, Mario Boley, Jilles Vreeken

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

MDL for Causal Inference on Discrete Data.

Kailash Budhathoki, Jilles Vreeken

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks.

Kumaripaba Athukorala, Dorota Glowacka, Giulio Jacucci, Antti Oulasvirta, Jilles Vreeken

J. Assoc. Inf. Sci. Technol., 2016

Interactive and Iterative Discovery of Entity Network Subgraphs.

Hao Wu, Maoyuan Sun, Jilles Vreeken, Nikolaj Tatti, Chris North, Naren Ramakrishnan

CoRR, 2016

Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series.

Hoang Vu Nguyen, Jilles Vreeken

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Flexibly Mining Better Subgroups.

Hoang Vu Nguyen, Jilles Vreeken

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Universal Dependency Analysis.

Hoang Vu Nguyen, Panagiotis Mandros, Jilles Vreeken

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Reconstructing an Epidemic Over Time.

Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns.

Roel Bertens, Jilles Vreeken, Arno Siebes

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Causal Inference by Compression.

Kailash Budhathoki, Jilles Vreeken

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Summarizing and understanding large graphs.

Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos

Stat. Anal. Data Min., 2015

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives.

Arthur Zimek, Jilles Vreeken

Mach. Learn., 2015

Erratum to: Unsupervised interaction-preserving discretization of multivariate data.

Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm

Data Min. Knowl. Discov., 2015

Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs.

Robert S. Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau

CoRR, 2015

Universal Dependency Analysis.

Hoang Vu Nguyen, Jilles Vreeken

CoRR, 2015

Canonical Divergence Analysis.

Hoang Vu Nguyen, Jilles Vreeken

CoRR, 2015

Beauty and Brains: Detecting Anomalous Pattern Co-Occurrences.

Roel Bertens, Jilles Vreeken, Arno Siebes

CoRR, 2015

Causal Inference by Direction of Information.

Jilles Vreeken

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics.

Shashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization.

Sanjar Karaev, Pauli Miettinen, Jilles Vreeken

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Non-parametric Jensen-Shannon Divergence.

Hoang Vu Nguyen, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

The Difference and the Norm - Characterising Similarities and Differences Between Databases.

Kailash Budhathoki, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

MDL4BMF: Minimum Description Length for Boolean Matrix Factorization.

Pauli Miettinen, Jilles Vreeken

ACM Trans. Knowl. Discov. Data, 2014

Efficiently spotting the starting points of an epidemic in a large graph.

B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos

Knowl. Inf. Syst., 2014

Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas.

Hao Wu, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan

Data Min. Knowl. Discov., 2014

Unsupervised interaction-preserving discretization of multivariate data.

Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm

Data Min. Knowl. Discov., 2014

Supporting Exploratory Search Through User Modeling.

Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci

Proceedings of the Posters, 2014

Interaction Model to Predict Subjective-Specificity of Search Results.

Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci

Proceedings of the Posters, 2014

VOG: Summarizing and Understanding Large Graphs.

Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multivariate Maximal Correlation Analysis.

Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm

Proceedings of the 31th International Conference on Machine Learning, 2014

A Fresh Look on Knowledge Bases: Distilling Named Events from News.

Erdal Kuzey, Jilles Vreeken, Gerhard Weikum

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Narrow or Broad?: Estimating Subjective Specificity in Exploratory Search.

Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Frequent Pattern Mining Algorithms for Data Clustering.

Arthur Zimek, Ira Assent, Jilles Vreeken

Proceedings of the Frequent Pattern Mining, 2014

Interesting Patterns.

Jilles Vreeken, Nikolaj Tatti

Proceedings of the Frequent Pattern Mining, 2014

Mining and Using Sets of Patterns through Compression.

Matthijs van Leeuwen, Jilles Vreeken

Proceedings of the Frequent Pattern Mining, 2014

2013

Efficient Discovery of the Most Interesting Associations.

Geoffrey I. Webb, Jilles Vreeken

ACM Trans. Knowl. Discov. Data, 2013

Summarizing categorical data by clustering attributes.

Michael Mampaey, Jilles Vreeken

Data Min. Knowl. Discov., 2013

CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection.

Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Mining Connection Pathways for Marked Nodes in Large Graphs.

Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Detecting Bicliques in GF[q].

Jan Ramon, Pauli Miettinen, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data.

Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data.

Emin Aksehirli, Bart Goethals, Emmanuel Müller, Jilles Vreeken

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Summarizing data succinctly with the most informative itemsets.

Michael Mampaey, Jilles Vreeken, Nikolaj Tatti

ACM Trans. Knowl. Discov. Data, 2012

Comparing apples and oranges: measuring differences between exploratory data mining results.

Nikolaj Tatti, Jilles Vreeken

Data Min. Knowl. Discov., 2012

Slim: Directly Mining Descriptive Patterns.

Koen Smets, Jilles Vreeken

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Discovering Descriptive Tile Trees - By Mining Optimal Geometric Subtiles.

Nikolaj Tatti, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

The long and the short of it: summarising event sequences with serial episodes.

Nikolaj Tatti, Jilles Vreeken

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

TourViz: interactive visualization of connection pathways in large graphs.

Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Spotting Culprits in Epidemics: How Many and Which Ones?

B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Fast and reliable anomaly detection in categorical data.

Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.

Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Krimp: mining itemsets that compress.

Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes

Data Min. Knowl. Discov., 2011

The Odd One Out: Identifying and Characterising Anomalies.

Koen Smets, Jilles Vreeken

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Comparing Apples and Oranges - Measuring Differences between Data Mining Results.

Nikolaj Tatti, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

When Pattern Met Subspace Cluster.

Jilles Vreeken, Arthur Zimek

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

Model order selection for boolean matrix factorization.

Pauli Miettinen, Jilles Vreeken

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Tell me what i need to know: succinctly summarizing data with itemsets.

Michael Mampaey, Nikolaj Tatti, Jilles Vreeken

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

MIME: a framework for interactive visual pattern mining.

Bart Goethals, Sandy Moens, Jilles Vreeken

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Maximum Entropy Modelling for Assessing Results on Real-Valued Data.

Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Useful patterns (UP'10) ACM SIGKDD workshop report.

Jilles Vreeken, Nikolaj Tatti, Bart Goethals

SIGKDD Explor., 2010

Making pattern mining useful.

Jilles Vreeken

SIGKDD Explor., 2010

Summarising Data by Clustering Items.

Michael Mampaey, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Making Pattern Mining Useful.

Jilles Vreeken

PhD thesis, 2009

Identifying the components.

Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes

Data Min. Knowl. Discov., 2009

Low-Entropy Set Selection.

Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila

Proceedings of the SIAM International Conference on Data Mining, 2009

2008

Filling in the Blanks - Krimp Minimisation for Missing Data.

Jilles Vreeken, Arno Siebes

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Finding Good Itemsets by Packing Data.

Nikolaj Tatti, Jilles Vreeken

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Characterising the difference.

Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Preserving Privacy through Data Generation.

Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Item Sets that Compress.

Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Compression Picks Item Sets That Matter.

Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006