Jilles Vreeken

207 papers A* 65A 32B 1Journal 81Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Characterization of Measurement and Mechanistic Anomalies. CoRR Hendrik Suhr, David Kaltenpoth, Jilles Vreeken
2026	A*	`conf`	Causal Discovery from Interval-Based Event Sequences. AAAI Lénaïg Cornanguer, Joscha Cüppers, Jilles Vreeken
2026	—	`ed.`	Challenges and Algorithms for Knowledge Discovery from Data - Essays Dedicated to Arno Siebes on the Occasion of His 67th Birthday Challenges and Algorithms for Knowledge Discovery from Data Matthijs van Leeuwen, Jilles Vreeken
2026	J	`jnl`	Learning and Naming Subgroups with Exceptional Survival Characteristics. CoRR Mhd Jawad Al Rahwanji, Sascha Xu, Nils Philipp Walter, Jilles Vreeken
2026	A*	`conf`	SEQRET: Mining Rule Sets from Event Sequences. AAAI Aleena Siji, Joscha Cüppers, Osman Mian, Jilles Vreeken
2025	A	`conf`	Accurately Estimating Unreported Infections using Information Theory. SDM Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash
2025	J	`jnl`	Accurately Estimating Unreported Infections using Information Theory. CoRR Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash
2025	A*	`conf`	Federated Binary Matrix Factorization Using Proximal Optimization. AAAI Sebastian Dalleiger, Jilles Vreeken, Michael Kamp
2025	A*	`conf`	From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs. AAAI Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken, Nikolaj Tatti
2025	A	`conf`	Information-Theoretic Causal Discovery in Topological Order. AISTATS Sascha Xu, Sarah Mameche, Jilles Vreeken
2025	J	`jnl`	Now you see me! A framework for obtaining class-relevant saliency maps. CoRR Nils Philipp Walter, Jilles Vreeken, Jonas Fischer
2025	A*	`conf`	SPACETIME: Causal Discovery from Non-Stationary Time Series. AAAI Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken
2025	J	`jnl`	Seqret: Mining Rule Sets from Event Sequences. CoRR Aleena Siji, Joscha Cüppers, Osman Ali Mian, Jilles Vreeken
2025	—	`conf`	Snor: Simpler Descriptions Through Overlapping Patterns. Challenges and Algorithms for Knowledge Discovery from Data Matthijs van Leeuwen, Jilles Vreeken
2025	J	`jnl`	SpaceTime: Causal Discovery from Non-Stationary Time Series. CoRR Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken
2025	—	`conf`	Succinct Interaction-Aware Explanations. KDD (1) Sascha Xu, Joscha Cüppers, Jilles Vreeken
2025	J	`jnl`	When Flatness Does (Not) Guarantee Adversarial Robustness. CoRR Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
2024	J	`jnl`	All the world's a (hyper)graph: A data drama. Digit. Scholarsh. Humanit. Corinna Coupette, Jilles Vreeken, Bastian Rieck
2024	A*	`conf`	Causal Discovery from Event Sequences by Local Cause-Effect Attribution. NeurIPS Joscha Cüppers, Sascha Xu, Ahmed Musa, Jilles Vreeken
2024	—	`conf`	Data is Moody: Discovering Data Modification Rules from Process Event Logs. ECML/PKDD (2) Marco Bjarne Schuster, Boris Wiegand, Jilles Vreeken
2024	A*	`conf`	Discovering Sequential Patterns with Predictable Inter-event Delays. AAAI Joscha Cüppers, Paul Krieger, Jilles Vreeken
2024	J	`jnl`	Federated Binary Matrix Factorization using Proximal Optimization. CoRR Sebastian Dalleiger, Jilles Vreeken, Michael Kamp
2024	A*	`conf`	Finding Interpretable Class-Specific Patterns through Efficient Neural Search. AAAI Nils Philipp Walter, Jonas Fischer, Jilles Vreeken
2024	J	`jnl`	From your Block to our Block: How to Find Shared Structure between Stochastic Block Models over Multiple Graphs. CoRR Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken, Nikolaj Tatti
2024	A	`conf`	Identifying Confounding from Causal Mechanism Shifts. AISTATS Sarah Mameche, Jilles Vreeken, David Kaltenpoth
2024	A*	`conf`	Learning Causal Networks from Episodic Data. KDD Osman Mian, Sarah Mameche, Jilles Vreeken
2024	A*	`conf`	Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence. ICML Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken
2024	J	`jnl`	Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence. CoRR Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken
2024	J	`jnl`	Neuro-Symbolic Rule Lists. CoRR Sascha Xu, Nils Philipp Walter, Jilles Vreeken
2024	J	`jnl`	Succint Interaction-Aware Explanations. CoRR Sascha Xu, Joscha Cüppers, Jilles Vreeken
2024	J	`jnl`	The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective. CoRR Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
2024	A*	`conf`	What Are the Rules? Discovering Constraints from Data. AAAI Boris Wiegand, Dietrich Klakow, Jilles Vreeken
2023	A*	`conf`	Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns. KDD Joscha Cüppers, Jilles Vreeken
2023	A	`conf`	Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition. UAI David Kaltenpoth, Jilles Vreeken
2023	J	`jnl`	Data is Moody: Discovering Data Modification Rules from Process Event Logs. CoRR Marco Bjarne Schuster, Boris Wiegand, Jilles Vreeken
2023	J	`jnl`	Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent. CoRR Sebastian Dalleiger, Jilles Vreeken
2023	A*	`conf`	Federated Learning from Small Datasets. ICLR Michael Kamp, Jonas Fischer, Jilles Vreeken
2023	J	`jnl`	Finding Interpretable Class-Specific Patterns through Efficient Neural Search. CoRR Nils Philipp Walter, Jonas Fischer, Jilles Vreeken
2023	A*	`conf`	Identifying Selection Bias from Observational Data. AAAI David Kaltenpoth, Jilles Vreeken
2023	A*	`conf`	Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. AAAI Osman Mian, Michael Kamp, Jilles Vreeken
2023	A*	`conf`	Learning Causal Models under Independent Changes. NeurIPS Sarah Mameche, David Kaltenpoth, Jilles Vreeken
2023	A*	`conf`	Nonlinear Causal Discovery with Latent Confounders. ICML David Kaltenpoth, Jilles Vreeken
2023	A	`conf`	Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. AISTATS Osman Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken
2023	J	`jnl`	Preserving local densities in low-dimensional embeddings. CoRR Jonas Fischer, Rebekka Burkholz, Jilles Vreeken
2023	—	`conf`	Towards Concept-Aware Large Language Models. EMNLP (Findings) Chen Shani, Jilles Vreeken, Dafna Shahaf
2023	J	`jnl`	Towards Concept-Aware Large Language Models. CoRR Chen Shani, Jilles Vreeken, Dafna Shahaf
2023	J	`jnl`	Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. CoRR Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
2023	A	`conf`	Why Are We Waiting? Discovering Interpretable Models for Predicting Sojourn and Waiting Times. SDM Boris Wiegand, Dietrich Klakow, Jilles Vreeken
2022	J	`jnl`	All the World's a (Hyper)Graph: A Data Drama. CoRR Corinna Coupette, Jilles Vreeken, Bastian Rieck
2022	A*	`conf`	Differentially Describing Groups of Graphs. AAAI Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken
2022	J	`jnl`	Differentially Describing Groups of Graphs. CoRR Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken
2022	A*	`conf`	Discovering Interpretable Data-to-Sequence Generators. AAAI Boris Wiegand, Dietrich Klakow, Jilles Vreeken
2022	A*	`conf`	Discovering Invariant and Changing Mechanisms from Data. KDD Sarah Mameche, David Kaltenpoth, Jilles Vreeken
2022	A*	`conf`	Discovering Significant Patterns under Sequential False Discovery Control. KDD Sebastian Dalleiger, Jilles Vreeken
2022	A*	`conf`	Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent. NeurIPS Sebastian Dalleiger, Jilles Vreeken
2022	A*	`conf`	Inferring Cause and Effect in the Presence of Heteroscedastic Noise. ICML Sascha Xu, Osman Mian, Alexander Marx, Jilles Vreeken
2022	A*	`conf`	Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. ICML Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
2022	A*	`conf`	Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information. AAAI Janis Kalofolias, Jilles Vreeken
2022	J	`jnl`	Omen: discovering sequential patterns with reliable prediction delays. Knowl. Inf. Syst. Joscha Cüppers, Janis Kalofolias, Jilles Vreeken
2021	A*	`conf`	Differentiable Pattern Set Mining. KDD Jonas Fischer, Jilles Vreeken
2021	A*	`conf`	Discovering Fully Oriented Causal Networks. AAAI Osman Mian, Alexander Marx, Jilles Vreeken
2021	A	`conf`	Discovering Reliable Causal Rules. SDM Kailash Budhathoki, Mario Boley, Jilles Vreeken
2021	J	`jnl`	Factoring out prior knowledge from low-dimensional embeddings. CoRR Edith Heiter, Jonas Fischer, Jilles Vreeken
2021	J	`jnl`	Federated Learning from Small Datasets. CoRR Michael Kamp, Jonas Fischer, Jilles Vreeken
2021	J	`jnl`	Formally Justifying MDL-based Inference of Cause and Effect. CoRR Alexander Marx, Jilles Vreeken
2021	A*	`conf`	Graph Similarity Description: How Are These Graphs Similar? KDD Corinna Coupette, Jilles Vreeken
2021	J	`jnl`	Graph Similarity Description: How Are These Graphs Similar? CoRR Corinna Coupette, Jilles Vreeken
2021	J	`jnl`	Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
2021	A	`conf`	Mining Easily Understandable Models from Complex Event Logs. SDM Boris Wiegand, Dietrich Klakow, Jilles Vreeken
2021	A	`conf`	SUSAN: The Structural Similarity Random Walk Kernel. SDM Janis Kalofolias, Pascal Welke, Jilles Vreeken
2021	A*	`conf`	What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules. ICML Jonas Fischer, Anna Oláh, Jilles Vreeken
2020	A*	`conf`	Discovering Approximate Functional Dependencies using Smoothed Mutual Information. KDD Frédéric Pennerath, Panagiotis Mandros, Jilles Vreeken
2020	A*	`conf`	Discovering Functional Dependencies from Mixed-Type Data. KDD Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken
2020	J	`jnl`	Discovering Reliable Causal Rules. CoRR Kailash Budhathoki, Mario Boley, Jilles Vreeken
2020	A*	`conf`	Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity. KDD Jonas Fischer, Jilles Vreeken
2020	J	`jnl`	Discovering dependencies with reliable mutual information. Knowl. Inf. Syst. Panagiotis Mandros, Mario Boley, Jilles Vreeken
2020	A*	`conf`	Explainable Data Decompositions. AAAI Sebastian Dalleiger, Jilles Vreeken
2020	A*	`conf`	Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays. ICDM Joscha Cüppers, Jilles Vreeken
2020	A*	`conf`	The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery. ICDM Sebastian Dalleiger, Jilles Vreeken
2020	A*	`conf`	Towards Plausible Graph Anonymization. NDSS Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
2020	A*	`conf`	What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. WWW Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra
2020	J	`jnl`	What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. CoRR Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra
2019	J	`jnl`	Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). ACM Trans. Knowl. Discov. Data Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos
2019	J	`jnl`	Comparing Apples and Oranges: Measuring Differences between Data Mining Results. CoRR Nikolaj Tatti, Jilles Vreeken
2019	J	`jnl`	Discovering Descriptive Tile Trees by Mining Optimal Geometric Subtiles. CoRR Nikolaj Tatti, Jilles Vreeken
2019	A*	`conf`	Discovering Reliable Correlations in Categorical Data. ICDM Panagiotis Mandros, Mario Boley, Jilles Vreeken
2019	J	`jnl`	Discovering Reliable Correlations in Categorical Data. CoRR Panagiotis Mandros, Mario Boley, Jilles Vreeken
2019	A*	`conf`	Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. IJCAI Panagiotis Mandros, Mario Boley, Jilles Vreeken
2019	A*	`conf`	Discovering Robustly Connected Subgraphs with Simple Descriptions. ICDM Janis Kalofolias, Mario Boley, Jilles Vreeken
2019	J	`jnl`	Finding Good Itemsets by Packing Data. CoRR Nikolaj Tatti, Jilles Vreeken
2019	A*	`conf`	Identifiability of Cause and Effect using Regularized Regression. KDD Alexander Marx, Jilles Vreeken
2019	A*	`conf`	Modern MDL meets Data Mining Insights, Theory, and Practice. KDD Jilles Vreeken, Kenji Yamanishi
2019	—	`conf`	Sets of Robust Rules, and How to Find Them. ECML/PKDD (1) Jonas Fischer, Jilles Vreeken
2019	J	`jnl`	Summarizing Data Succinctly with the Most Informative Itemsets. CoRR Michael Mampaey, Jilles Vreeken, Nikolaj Tatti
2019	J	`jnl`	Telling cause from effect by local and global regression. Knowl. Inf. Syst. Alexander Marx, Jilles Vreeken
2019	A	`conf`	Testing Conditional Independence on Discrete Data using Stochastic Complexity. AISTATS Alexander Marx, Jilles Vreeken
2019	J	`jnl`	Testing Conditional Independence on Discrete Data using Stochastic Complexity. CoRR Alexander Marx, Jilles Vreeken
2019	J	`jnl`	The Long and the Short of It: Summarising Event Sequences with Serial Episodes. CoRR Nikolaj Tatti, Jilles Vreeken
2019	A	`conf`	We Are Not Your Real Parents: Telling Causal from Confounded using MDL. SDM David Kaltenpoth, Jilles Vreeken
2019	J	`jnl`	We Are Not Your Real Parents: Telling Causal from Confounded using MDL. CoRR David Kaltenpoth, Jilles Vreeken
2018	A*	`conf`	Accurate Causal Inference on Discrete Data. ICDM Kailash Budhathoki, Jilles Vreeken
2018	J	`jnl`	Causal Discovery by Telling Apart Parents and Children. CoRR Alexander Marx, Jilles Vreeken
2018	A	`conf`	Causal Inference on Event Sequences. SDM Kailash Budhathoki, Jilles Vreeken
2018	—	`conf`	Causal Inference on Multivariate and Mixed-Type Data. ECML/PKDD (2) Alexander Marx, Jilles Vreeken
2018	A*	`conf`	Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. ICDM Panagiotis Mandros, Mario Boley, Jilles Vreeken
2018	J	`jnl`	Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. CoRR Panagiotis Mandros, Mario Boley, Jilles Vreeken
2018	J	`jnl`	Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2018	J	`jnl`	JAMI: fast computation of conditional mutual information for ceRNA network analysis. Bioinform. Andrea Hornáková, Markus List, Jilles Vreeken, Marcel H. Schulz
2018	J	`jnl`	Origo: causal inference by compression. Knowl. Inf. Syst. Kailash Budhathoki, Jilles Vreeken
2018	A*	`conf`	Summarizing Graphs at Multiple Scales: New Trends. ICDM Danai Koutra, Jilles Vreeken, Francesco Bonchi
2017	J	`jnl`	Beyond Pairwise Similarity: Quantifying and Characterizing Linguistic Similarity between Groups of Languages by MDL. Computación y Sistemas Andrea K. Fischer, Jilles Vreeken, Dietrich Klakow
2017	J	`jnl`	CTRL+Z: Recovering Anonymized Social Graphs. CoRR Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
2017	J	`jnl`	Causal Inference by Stochastic Complexity. CoRR Kailash Budhathoki, Jilles Vreeken
2017	J	`jnl`	Causal Inference on Multivariate Mixed-Type Data by Minimum Description Length. CoRR Alexander Marx, Jilles Vreeken
2017	A	`conf`	Correlation by Compression. SDM Kailash Budhathoki, Jilles Vreeken
2017	A*	`conf`	Discovering Reliable Approximate Functional Dependencies. KDD Panagiotis Mandros, Mario Boley, Jilles Vreeken
2017	J	`jnl`	Discovering Reliable Approximate Functional Dependencies. CoRR Panagiotis Mandros, Mario Boley, Jilles Vreeken
2017	A*	`conf`	Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. ICDM Janis Kalofolias, Mario Boley, Jilles Vreeken
2017	J	`jnl`	Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups. CoRR Janis Kalofolias, Mario Boley, Jilles Vreeken
2017	A	`conf`	Efficiently Discovering Unexpected Pattern-Co-Occurrences. SDM Roel Bertens, Jilles Vreeken, Arno Siebes
2017	A	`conf`	Efficiently Summarising Event Sequences with Rich Interleaving Patterns. SDM Apratim Bhattacharyya, Jilles Vreeken
2017	J	`jnl`	Efficiently Summarising Event Sequences with Rich Interleaving Patterns. CoRR Apratim Bhattacharyya, Jilles Vreeken
2017	A	`conf`	FACETS: Adaptive Local Exploration of Large Graphs. SDM Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2017	J	`jnl`	Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. CoRR Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken
2017	J	`jnl`	Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery. Data Min. Knowl. Discov. Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken
2017	A*	`conf`	MDL for Causal Inference on Discrete Data. ICDM Kailash Budhathoki, Jilles Vreeken
2017	A*	`conf`	Telling Cause from Effect Using MDL-Based Local and Global Regression. ICDM Alexander Marx, Jilles Vreeken
2016	A*	`conf`	Causal Inference by Compression. ICDM Kailash Budhathoki, Jilles Vreeken
2016	A	`conf`	Flexibly Mining Better Subgroups. SDM Hoang Vu Nguyen, Jilles Vreeken
2016	J	`jnl`	Generating Realistic Synthetic Population Datasets. CoRR Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2016	J	`jnl`	Interactive and Iterative Discovery of Entity Network Subgraphs. CoRR Hao Wu, Maoyuan Sun, Jilles Vreeken, Nikolaj Tatti, Chris North, Naren Ramakrishnan
2016	J	`jnl`	Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks. J. Assoc. Inf. Sci. Technol. Kumaripaba Athukorala, Dorota Glowacka, Giulio Jacucci, Antti Oulasvirta, Jilles Vreeken
2016	A*	`conf`	Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. KDD Roel Bertens, Jilles Vreeken, Arno Siebes
2016	A	`conf`	Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series. SDM Hoang Vu Nguyen, Jilles Vreeken
2016	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I ECML/PKDD (1) Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
2016	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II ECML/PKDD (2) Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
2016	A*	`conf`	Reconstructing an Epidemic Over Time. KDD Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken
2016	A	`conf`	Universal Dependency Analysis. SDM Hoang Vu Nguyen, Panagiotis Mandros, Jilles Vreeken
2015	J	`jnl`	Beauty and Brains: Detecting Anomalous Pattern Co-Occurrences. CoRR Roel Bertens, Jilles Vreeken, Arno Siebes
2015	J	`jnl`	Canonical Divergence Analysis. CoRR Hoang Vu Nguyen, Jilles Vreeken
2015	A	`conf`	Causal Inference by Direction of Information. SDM Jilles Vreeken
2015	J	`jnl`	Erratum to: Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm
2015	J	`jnl`	Flexibly Mining Better Subgroups. CoRR Hoang Vu Nguyen, Jilles Vreeken
2015	A	`conf`	Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization. SDM Sanjar Karaev, Pauli Miettinen, Jilles Vreeken
2015	A	`conf`	Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics. SDM Shashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash
2015	J	`jnl`	Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. CoRR Roel Bertens, Jilles Vreeken, Arno Siebes
2015	J	`jnl`	Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series. CoRR Hoang Vu Nguyen, Jilles Vreeken
2015	—	`conf`	Non-parametric Jensen-Shannon Divergence. ECML/PKDD (2) Hoang Vu Nguyen, Jilles Vreeken
2015	J	`jnl`	Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. CoRR Robert S. Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2015	J	`jnl`	Summarizing and understanding large graphs. Stat. Anal. Data Min. Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos
2015	—	`conf`	The Difference and the Norm - Characterising Similarities and Differences Between Databases. ECML/PKDD (2) Kailash Budhathoki, Jilles Vreeken
2015	J	`jnl`	The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives. Mach. Learn. Arthur Zimek, Jilles Vreeken
2015	J	`jnl`	Universal Dependency Analysis. CoRR Hoang Vu Nguyen, Jilles Vreeken
2014	A	`conf`	A Fresh Look on Knowledge Bases: Distilling Named Events from News. CIKM Erdal Kuzey, Jilles Vreeken, Gerhard Weikum
2014	J	`jnl`	Efficiently spotting the starting points of an epidemic in a large graph. Knowl. Inf. Syst. B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos
2014	—	`ch.`	Frequent Pattern Mining Algorithms for Data Clustering. Frequent Pattern Mining Arthur Zimek, Ira Assent, Jilles Vreeken
2014	—	`conf`	Interaction Model to Predict Subjective-Specificity of Search Results. UMAP Workshops Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci
2014	—	`ch.`	Interesting Patterns. Frequent Pattern Mining Jilles Vreeken, Nikolaj Tatti
2014	J	`jnl`	MDL4BMF: Minimum Description Length for Boolean Matrix Factorization. ACM Trans. Knowl. Discov. Data Pauli Miettinen, Jilles Vreeken
2014	—	`ch.`	Mining and Using Sets of Patterns through Compression. Frequent Pattern Mining Matthijs van Leeuwen, Jilles Vreeken
2014	A*	`conf`	Multivariate Maximal Correlation Analysis. ICML Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm
2014	A	`conf`	Narrow or Broad?: Estimating Subjective Specificity in Exploratory Search. CIKM Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci
2014	—	`conf`	Supporting Exploratory Search Through User Modeling. UMAP Workshops Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci
2014	J	`jnl`	Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas. Data Min. Knowl. Discov. Hao Wu, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2014	J	`jnl`	Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm
2014	A	`conf`	VOG: Summarizing and Understanding Large Graphs. SDM Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos
2014	J	`jnl`	VoG: Summarizing and Understanding Large Graphs. CoRR Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos
2013	A	`conf`	CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. SDM Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken
2013	A*	`conf`	Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. ICDM Emin Aksehirli, Bart Goethals, Emmanuel Müller, Jilles Vreeken
2013	—	`conf`	Detecting Bicliques in GF[q]. ECML/PKDD (1) Jan Ramon, Pauli Miettinen, Jilles Vreeken
2013	J	`jnl`	Efficient Discovery of the Most Interesting Associations. ACM Trans. Knowl. Discov. Data Geoffrey I. Webb, Jilles Vreeken
2013	—	`conf`	Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data. ECML/PKDD (2) Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie
2013	A	`conf`	Mining Connection Pathways for Marked Nodes in Large Graphs. SDM Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken
2013	—	`ed.`	Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, IDEA@KDD 2013, Chicago, Illinois, USA, August 11, 2013 IDEA@KDD Duen Horng Chau, Jilles Vreeken, Matthijs van Leeuwen, Christos Faloutsos
2013	J	`jnl`	Summarizing categorical data by clustering attributes. Data Min. Knowl. Discov. Michael Mampaey, Jilles Vreeken
2012	—	`ed.`	12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012 ICDM Workshops Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012	J	`jnl`	Comparing apples and oranges: measuring differences between exploratory data mining results. Data Min. Knowl. Discov. Nikolaj Tatti, Jilles Vreeken
2012	—	`conf`	Discovering Descriptive Tile Trees - By Mining Optimal Geometric Subtiles. ECML/PKDD (1) Nikolaj Tatti, Jilles Vreeken
2012	A	`conf`	Fast and reliable anomaly detection in categorical data. CIKM Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos
2012	B	`conf`	Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2012	A	`conf`	Slim: Directly Mining Descriptive Patterns. SDM Koen Smets, Jilles Vreeken
2012	A*	`conf`	Spotting Culprits in Epidemics: How Many and Which Ones? ICDM B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos
2012	J	`jnl`	Summarizing data succinctly with the most informative itemsets. ACM Trans. Knowl. Discov. Data Michael Mampaey, Jilles Vreeken, Nikolaj Tatti
2012	A*	`conf`	The long and the short of it: summarising event sequences with serial episodes. KDD Nikolaj Tatti, Jilles Vreeken
2012	A*	`conf`	TourViz: interactive visualization of connection pathways in large graphs. KDD Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2011	—	`conf`	Comparing Apples and Oranges - Measuring Differences between Data Mining Results. ECML/PKDD (3) Nikolaj Tatti, Jilles Vreeken
2011	J	`jnl`	Krimp: mining itemsets that compress. Data Min. Knowl. Discov. Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2011	—	`conf`	MIME: A Framework for Interactive Visual Pattern Mining. ECML/PKDD (3) Bart Goethals, Sandy Moens, Jilles Vreeken
2011	A*	`conf`	MIME: a framework for interactive visual pattern mining. KDD Bart Goethals, Sandy Moens, Jilles Vreeken
2011	A*	`conf`	Maximum Entropy Modelling for Assessing Results on Real-Valued Data. ICDM Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie
2011	A*	`conf`	Model order selection for boolean matrix factorization. KDD Pauli Miettinen, Jilles Vreeken
2011	A*	`conf`	Tell me what i need to know: succinctly summarizing data with itemsets. KDD Michael Mampaey, Nikolaj Tatti, Jilles Vreeken
2011	A	`conf`	The Odd One Out: Identifying and Characterising Anomalies. SDM Koen Smets, Jilles Vreeken
2011	—	`conf`	When Pattern Met Subspace Cluster. MultiClust@ECML/PKDD Jilles Vreeken, Arthur Zimek
2010	J	`jnl`	Making pattern mining useful. SIGKDD Explor. Jilles Vreeken
2010	—	`conf`	Summarising Data by Clustering Items. ECML/PKDD (2) Michael Mampaey, Jilles Vreeken
2010	J	`jnl`	Useful patterns (UP'10) ACM SIGKDD workshop report. SIGKDD Explor. Jilles Vreeken, Nikolaj Tatti, Bart Goethals
2009	—	`conf`	Identifying the Components. ECML/PKDD (1) Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2009	J	`jnl`	Identifying the components. Data Min. Knowl. Discov. Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2009	A	`conf`	Low-Entropy Set Selection. SDM Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila
2009	—	`—`	Making Pattern Mining Useful. Jilles Vreeken
2008	A*	`conf`	Filling in the Blanks - Krimp Minimisation for Missing Data. ICDM Jilles Vreeken, Arno Siebes
2008	A*	`conf`	Finding Good Itemsets by Packing Data. ICDM Nikolaj Tatti, Jilles Vreeken
2007	A*	`conf`	Characterising the difference. KDD Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2007	A*	`conf`	Preserving Privacy through Data Generation. ICDM Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2006	—	`conf`	Compression Picks Item Sets That Matter. PKDD Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2006	A	`conf`	Item Sets that Compress. SDM Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen