Items where Author is "Vreeken, Jilles"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 145.

Dalleiger, Sebastian and Vreeken, Jilles
(2022) Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent.
In: Advances in Neural Information Processing Systems.
Conference: NeurIPS Conference on Neural Information Processing Systems

Mameche, Sara and Kaltenpoth, David and Vreeken, Jilles
(2022) Discovering Invariant and Changing Mechanisms from Data.
In: KDD [ACM International Conference on Knowledge Discovery and Data Mining].
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Dalleiger, Sebastian and Vreeken, Jilles
(2022) Discovering Significant Patterns under Sequential False Discovery Control.
In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Xu, Sascha and Mian, Osman and Vreeken, Jilles
(2022) Inferring Cause and Effect in the Presence of Heteroscedastic Noise.
In: ICML.
Conference: ICML International Conference on Machine Learning

Hedderich, M and Fischer, Jonas and Klakow, Dietrich and Vreeken, Jilles
(2022) Label-Descriptive Patterns and their Application to Characterizing Classification Errors.
In: International Conference on Machine Learning (ICML).
Conference: ICML International Conference on Machine Learning

Cueppers, Joscha and Kalofolias, Janis and Vreeken, Jilles
(2022) Omen: discovering sequential patterns with reliable prediction delays.
Knowledge and Information Systems. ISSN 0219-1377

Marx, Alexander and Vreeken, Jilles
(2022) Formally Justifying MDL-based Inference of Cause and Effect.
In: AAAI Workshop on Information-Theoretic Causal Inference and Discovery (ITCI'22).
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Coupette, Corinna and Dalleiger, Sebastian and Vreeken, Jilles
(2022) Differentially Describing Groups of Graphs.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Wiegand, Boris and Klakow, Dietrich and Vreeken, Jilles
(2022) Discovering Interpretable Data-to-Sequence Generators.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Kalofolias, Janis and Vreeken, Jilles
(2022) Naming the most Anomalous Cluster in Hilbert Space for Structures with Attribute Information.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Fischer, Jonas and Olah, Anna and Vreeken, Jilles
(2021) What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules.
In: International Conference on Machine Learning.
Conference: ICML International Conference on Machine Learning

Schmidt, Florian and Marx, Alexander and Baumgarten, Nina and Hebel, Marie and Wegner, Martin and Kaulich, Manuel and Leisegang, Matthias S and Brandes, Ralf P and Göke, Jonathan and Vreeken, Jilles and Schulz, Marcel H
(2021) Integrative analysis of epigenetics data identifies gene-specific regulatory elements.
Nucleic acids research.

Fischer, Jonas and Vreeken, Jilles
(2021) Differentiable Pattern Set Mining.
In: KDD [ACM International Conference on Knowledge Discovery and Data Mining].
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Coupette, Corinna and Vreeken, Jilles
(2021) Graph Similarity Description: How Are These Graphs Similar?
In: KDD [ACM International Conference on Knowledge Discovery and Data Mining].
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Dutta, Arghya and Vreeken, Jilles and Ghiringhelli, Luca M and Bereau, Tristan
(2021) Data-driven equation for drug-membrane permeability across drugs and membranes.
The Journal of Chemical Physics.

Budhathoki, Kailash and Boley, Mario and Vreeken, Jilles
(2021) Discovering reliable causal rules.
In: SIAM International Conference on Data Mining.
Conference: SDM SIAM International Conference on Data Mining

Wiegand, Boris and Klakow, Dietrich and Vreeken, Jilles
(2021) Mining Easily Understandable Models from Complex Event Logs.
In: Proceedings of the 2021 SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Kalofolias, Janis and Welke, Pascal and Vreeken, Jilles
(2021) SUSAN: The Structural Similarity Random Walk Kernel.
In: Proceedings of the 2021 SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Mian, Osman and Marx, Alexander and Vreeken, Jilles
(2021) Discovering Fully Oriented Causal Networks.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Cueppers, Joscha and Vreeken, Jilles
(2020) Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays.
In: IEEE International Conference on Data Mining.
Conference: ICDM IEEE International Conference on Data Mining
(In Press)

Dalleiger, Sebastian and Vreeken, Jilles
(2020) The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery.
In: IEEE International Conference on Data Mining.
Conference: ICDM IEEE International Conference on Data Mining
(In Press)

Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2020) Discovering Dependencies with Reliable Mutual Information.
Knowledge and Information Systems. ISSN 0219-1377

Sutton, Christopher and Boley, Mario and Ghiringhelli, Luca M. and Rupp, Matthias and Vreeken, Jilles and Scheffler, Matthias
(2020) Identifying Domains of Applicability of Machine Learning Models for Materials Science.
Nature Communications. ISSN 2041-1723

Penerath, Frederic and Mandros, Panagiotis and Vreeken, Jilles
(2020) Discovering Approximate Functional Dependencies using Smoothed Mutual Information.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Mandros, Panagiotis and Kaltenpoth, David and Boley, Mario and Vreeken, Jilles
(2020) Discovering Functional Dependencies from Mixed-Type Data.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Fischer, Jonas and Vreeken, Jilles
(2020) Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Belth, Caleb and Zheng, X and Vreeken, Jilles and Koutra, Danai
(2020) What is Normal, What is Strange, and What is Missing in an Knowledge Graph.
In: The Web Conference.
Conference: WWW The Web Conference (Formerly: International World Wide Web Conference)

Zhang, Yang and Humbert, Mathias and Surma, Bartlomiej and Manoharan, Praveen and Vreeken, Jilles and Backes, Michael
(2020) Towards Plausible Graph Anonymization.
In: Annual Network and Distributed System Security Symposium.
Conference: NDSS Network and Distributed System Security Symposium

Dalleiger, Sebastian and Vreeken, Jilles
(2020) Explainable Data Decompositions.
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
Conference: AAAI National Conference of the American Association for Artificial Intelligence
(In Press)

Fischer, Jonas and Vreeken, Jilles
(2019) Sets of Robust Rules, and How to Find Them.
In: ECMLPKDD.
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Marx, Alexander and Vreeken, Jilles
(2019) Identifiability of Cause and Effect using Regularized Regression.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Vreeken, Jilles and Yamanishi, Kenji
(2019) Modern MDL meets Data Mining Insights, Theory, and Practice.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Kaltenpoth, David and Vreeken, Jilles
(2019) We Are Not Your Real Parents: Telling Causal from Confounded using MDL.
In: SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Marx, Alexander and Vreeken, Jilles
(2019) Testing Conditional Independence on Discrete Data using Stochastic Complexity.
In: International Conference on Artificial Intelligence and Statistics (AISTATS).
Conference: AISTATS International Conference on Artificial Intelligence and Statistics

Marx, Alexander and Vreeken, Jilles
(2019) Approximating Algorithmic Conditional Independence for Discrete Data.
In: First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Marx, Alexander and Vreeken, Jilles
(2019) Telling Cause from Effect by Local and Global Regression.
Knowledge and Information Systems.
(In Press)

Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Reliable Correlations in Categorical Data.
In: IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms (Extended Abstract).
In: International Joint Conference on Artificial Intelligence (IJCAI).
Conference: IJCAI International Joint Conference on Artificial Intelligence

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: ECMLPKDD Workshop on Graph Embedding and Mining (GEM).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: ACM SIGKDD Workshop on Mining and Learning from Graphs (MLG).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Saran, Divyam and Vreeken, Jilles
(2019) Summarizing Dynamic Graphs using MDL.
In: ECMLPKDD Workshop on Graph Embedding and Mining (GEM).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Budhathoki, Kailash and Boley, Mario and Vreeken, Jilles
(2018) Rule Discovery for Exploratory Causal Reasoning.
In: NeurIPS 2018 workshop on Causal Learning.
Conference: NeurIPS Conference on Neural Information Processing Systems

Marx, Alexander and Vreeken, Jilles
(2018) Stochastic Complexity for Testing Conditional Independence on Discrete Data.
In: NeurIPS 2018 Workshop on Causal Learning.
Conference: NeurIPS Conference on Neural Information Processing Systems

Budhathoki, Kailash and Vreeken, Jilles
(2018) Accurate Causal Inference on Discrete Data.
In: IEEE International Conference on Data Mining (ICDM'18).
Conference: ICDM IEEE International Conference on Data Mining

Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2018) Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms.
In: IEEE International Conference on Data Mining (ICDM'18).
Conference: ICDM IEEE International Conference on Data Mining

Marx, Alexander and Vreeken, Jilles
(2018) Causal Inference on Multivariate and Mixed Type Data.
In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Wu, Hao and Ning, Y and Chakraborty, P and Vreeken, Jilles and Tatti, Nikolaj and Ramakrishnan, Naren
(2018) Generating Realistic Synthetic Population Datasets.
ACM Transactions on Knowledge Discovery and Data Mining, 12 (4). pp. 1-45.

List, Markus and Hornakova, Andrea and Vreeken, Jilles and Schulz, Marcel
(2018) JAMI: Fast Computation of Conditional Mutual Information for ceRNA network analysis.
Bioinformatics, 34 (17). pp. 3050-3051.

Budhathoki, Kailash and Vreeken, Jilles
(2018) Origo: Causal Inference by Compression.
Knowledge and Information Systems, 56 (2). pp. 285-307.

Budhathoki, Kailash and Vreeken, Jilles
(2018) Causal Inference on Event Sequences.
In: SIAM International Conference on Data Mining.
Conference: SDM SIAM International Conference on Data Mining

Fisher, Andrea K. and Vreeken, Jilles and Klakow, Dietrich
(2017) Beyond Pairwise Similarity: Quantifying and Characterizing Linguistic Similarity between Groups of Languages by MDL.
Computacion y Sistemas.

Hinrichs, Frauke and Vreeken, Jilles
(2017) Characterising the Difference and the Norm between Sequence Databases.
In: Proceedings of the 4th Workshop on Interactions between Data Mining and Natural Language Processing (DMNLP).

Budhathoki, Kailash and Vreeken, Jilles
(2017) Correlation by Compression.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2017) Discovering Reliable Approximate Functional Dependencies.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2017) Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Bertens, Roel and Vreeken, Jilles and Siebes, Arno
(2017) Efficiently Discovering Unexpected Pattern Co-Occurrences.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Bhattacharyya, Apratim and Vreeken, Jilles
(2017) Efficiently Summarising Event Sequences with Rich Interleaving Patterns.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Pienta, Robert and Kahng, Minsuk and Lin, Zhang and Vreeken, Jilles and Talukdar, Partha and Abello, James and Parameswaran, Ganesh and Chau, Duen Horng
(2017) FACETS : Adaptive Local Exploration of Large Graphs.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Boley, Mario and Goldsmit, Brian R. and Ghiringhelli, Luca M. and Vreeken, Jilles
(2017) Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery.
Data Mining and Knowledge Discovery, 31 (5). pp. 1391-1418.

Budhathoki, Kailash and Vreeken, Jilles
(2017) MDL for Causal Inference on Discrete Data.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Budhathoki, Kailash and Vreeken, Jilles
(2017) Origo: Causal Inference by Compression.
Knowledge and Information Systems.

Lijffijt, Jefrey and Chau, Duen Horng and Vreeken, Jilles and van Leeuwen, Matthijs and Shahaf, Dafna and Faloutsos, Christos
(2017) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA).
UNSPECIFIED, pp. 1-85.

Grosse, Kathrin and Vreeken, Jilles
(2017) Summarising Event Sequences using Serial Episodes and an Ontology.
In: Proceedings of the 4th Workshop on Interactions between Data Mining and Natural Language Processing (DMNLP).

Marx, Alexander and Vreeken, Jilles
(2017) Telling Cause from Effect by MDL-based Local and Global Regression.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Goldsmith, Brian and Boley, Mario and Vreeken, Jilles and Scheffler, Matthias and Ghiringhelli, Luca M.
(2017) Uncovering Structure-Property Relationships of Materials by Subgroup Discovery.
New Journal of Physics, 17.

Budhathoki, Kailash and Vreeken, Jilles
(2016) Causal Inference by Compression.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Nguyen, Hoang-Vu and Vreeken, Jilles
(2016) Flexibly Mining Better Subgroups.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Athukorala, Kumaripaba and Glowacka, Dorata and Jacucci, Giulio and Oulasvirta, Antti and Vreeken, Jilles
(2016) Is Exploratory Search Different? A Comparison of Information Search Behavior for Exploratory and Lookup Tasks.
Journal of the Association for Information Science and Technology, 67 (11). pp. 2635-2651.

Bertens, Roel and Vreeken, Jilles and Siebes, Arno
(2016) Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Nguyen, Hoang-Vu and Vreeken, Jilles
(2016) Linear-Time Detection of Non-Linear Changes in Massively High Dimensional Time Series.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Frasconi, Paolo and Landwehr, Niels and Manco, Giuseppe and Vreeken, Jilles
(2016) Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2016).
Lecture Notes on Artificial Intelligence (9851). Springer.

Lijffijt, Jefrey and Chau, Duen Horng and Vreeken, Jilles and van Leeuwen, Matthijs and Shahaf, Dafna and Faloutsos, Christos
(2016) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA).
UNSPECIFIED, pp. 1-137.

Rozenshtein, Polina and Gionis, Aristides and Prakash, B. Aditya and Vreeken, Jilles
(2016) Reconstructing an Epidemic over Time.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Nguyen, Hoang-Vu and Mandros, Panagiotis and Vreeken, Jilles
(2016) Universal Dependency Analysis.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Pienta, Robert and Lin, Zhang and Kahng, M. and Vreeken, Jilles and Talukdar, Partha and Abello, J. and Parameswaran, G. and Chau, D.H.
(2015) AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs.
In: Proceedings of the IEEE Conference on Visualization (VIS).

Zimek, Arthur and Vreeken, Jilles
(2015) The Blind Men and the Elephant: About Meeting the Problem of Multiple Truths in Data from Clustering and Pattern Mining Perspectives.
Machine Learning, 98 (1). pp. 121-155.

Vreeken, Jilles
(2015) Causal Inference by Direction of Information.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Budhathoki, Kailash and Vreeken, Jilles
(2015) The Difference and the Norm — Characterising Similarities and Differences between Databases.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Karaev, Sanjar and Miettinen, Pauli and Vreeken, Jilles
(2015) Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Sundareisan, Shashi and Vreeken, Jilles and Prakash, B. Aditya
(2015) Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Nguyen, Hoang-Vu and Vreeken, Jilles
(2015) Non-Parametric Jensen-Shannon Divergence.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Chau, Duen Horng and Vreeken, Jilles and van Leeuwen, Matthijs and Shahaf, Dafna and Faloutsos, Christos
(2015) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA).
UNSPECIFIED, pp. 1-72.

Koutra, Danai and Kang, U and Vreeken, Jilles and Faloutsos, Christos
(2015) Summarizing and Understanding Large Graphs.
Statistical Analysis and Data Mining, 8 (3). pp. 183-202.

Kuzey, Erdal and Vreeken, Jilles and Weikum, Gerhard
(2014) A Fresh Look on Knowledge Bases: Distilling Named Events from News.
In: Proc. of the 23rd ACM International Conference on Information and Knowledge Management (CIKM'14).
Conference: CIKM ACM International Conference on Information and Knowledge Management

Prakash, B. Aditya and Vreeken, Jilles and Faloutsos, Christos
(2014) Efficiently Spotting the Starting Points of an Epidemic in a Large Graph.
Knowledge and Information Systems, 38 (1). pp. 35-59.

Zimek, Arthur and Assent, Ira and Vreeken, Jilles
(2014) Frequent Pattern Mining.
Springer.

Athukorala, Kumaripaba and Oulasvirta, Antti and Glowacka, Dorata and Vreeken, Jilles and Jaccuci, Giulio
(2014) Interaction Model to Predict Subjective-Specificity of Search Results.
In: Posters, Demos, Late-Breaking Results and Workshop Proceedings of the 22nd Conference on User Modelling, Adaptation, and Personalization (UMAP).

Miettinen, Pauli and Vreeken, Jilles
(2014) MDL4BMF : Minimum Description Length for Boolean Matrix Factorization.
Transactions on Knowledge Discovery from Data, 8 (4). pp. 1-31.

Nguyen, Hoang-Vu and Müller, Emmanuel and Vreeken, Jilles and Böhm, Klemens
(2014) Multivariate Maximal Correlation Analysis.
In: Proceedings of the International Conference on Machine Learning (ICML).
Conference: ICML International Conference on Machine Learning

Atukorala, Kumaripaba and Oulasvirta, Antti and Glowacka, Dorata and Vreeken, Jilles and Jaccuci, Giulio
(2014) Narrow or Broad? Estimating Subjective Specificity in Exploratory Search.
In: Proceedings of ACM Conference on Information and Knowledge Management (CIKM).
Conference: CIKM ACM International Conference on Information and Knowledge Management

Chau, Duen Horng and Vreeken, Jilles and Matthijs, van Leeuwen and Faloutsos, Christos
(2014) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA).
UNSPECIFIED, pp. 1-130.

Athukorala, Kumaripaba and Oulasvirta, Antti and Glowacka, Dorata and Vreeken, Jilles and Jaccuci, Giulio
(2014) Supporting Exploratory Search Through User Modelling.
In: Posters, Demos, Late-Breaking Results and Workshop Proceedings of the 22nd Conference on User Modelling, Adaptation, and Personalization (UMAP).

Wu, Hao and Vreeken, Jilles and Tatti, Nikolaj and Ramakrishnan, Naren
(2014) Uncovering the Plot: Detecting Surprising Coalitions of Entities in Multi-Relational Schemas.
Data Mining and Knowledge Discovery, 28 (5). pp. 1398-1428.

Nguyen, Hoang-Vu and Müller, Emmanuel and Vreeken, Jilles and Klemens, Böhm
(2014) Unsupervised Interaction-Preserving Discretization of Multivariate Data.
Data Mining and Knowledge Discovery, 28 (5). pp. 1366-1397.

Koutra, Danai and Kang, U and Vreeken, Jilles and Faloutsos, Christos
(2014) VoG: Summarizing and Understanding Large Graphs.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Nguyen, Hoang-Vu and Müller, Emmanuel and Vreeken, Jilles and Keller, Fabian and Böhm, Klemens
(2013) CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Aksehirli, Emin and Goethals, Bart and Müller, Emmanuel and Vreeken, Jilles
(2013) Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data.
In: 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013.
Conference: ICDM IEEE International Conference on Data Mining

Ramon, Jan and Miettinen, Pauli and Vreeken, Jilles
(2013) Detecting Bicliques in GF[q].
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Webb, Geoffrey and Vreeken, Jilles
(2013) Efficient Discovery of the Most Interesting Associations.
Transactions on Knowledge Discovery from Data, 8 (3). pp. 1-31.

Kontonasios, Kleanthis-Nikolaos and Vreeken, Jilles and De Bie, Tijl
(2013) Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Akoglu, Leman and Vreeken, Jilles and Tong, Hanghang and Chau, Duen Horn and Tatti, Nikolaj and Faloutsos, Christos
(2013) Mining Connection Pathways for Marked Nodes in Large Graphs.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Aksehirli, Emin and Goethals, Bart and Müller, Emmanuel and Vreeken, Jilles
(2013) Mining Frequently Co-occurring Object Sets over Multiple Neighborhoods.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Chau, Duen Horng and Vreeken, Jilles and van Leeuwen, Matthijs and Faloutsos, Christos
(2013) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA).
ACM Press, New York, NY, USA, pp. 1-104. ISBN 978-1-4503-2329-1

Akoglu, Leman and Müller, Emmanuel and Vreeken, Jilles
(2013) Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description (ODD).
ACM Press, New York, NY, USA, pp. 1-57. ISBN 978-1-4503-2335-2

Mampaey, Michael and Vreeken, Jilles
(2013) Summarizing Categorical Data by Clustering Attributes.
Data Mining and Knowledge Discovery, 26 (1). pp. 130-173.

Tatti, Nikolaj and Vreeken, Jilles
(2012) Comparing Apples and Oranges : Measuring Differences between Exploratory Data Mining Results.
Data Mining and Knowledge Discovery, 25 (2). pp. 173-207.

Tatti, Nikolaj and Vreeken, Jilles
(2012) Discovering Descriptive Tile Trees by Fast Mining of Optimal Geometric Subtiles.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Akoglu, Leman and Tong, Hanghang and Vreeken, Jilles and Faloutsos, Christos
(2012) Fast and Reliable Anomaly Detection in Categoric Data.
In: Proceedings of ACM Conference on Information and Knowledge Mining (CIKM).
Conference: CIKM ACM International Conference on Information and Knowledge Management

Chau, Duen Horng and Akoglu, Leman and Vreeken, Jilles and Tong, Hanghang and Faloutsos, Christos
(2012) Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.
In: Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Tatti, Nikolaj and Vreeken, Jilles
(2012) The Long and the Short of It: Summarising Event Sequences with Serial Episodes.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Akoglu, Leman and Vreeken, Jilles and Tong, Hanghang and Chau, Duen Horng and Faloutsos, Christos
(2012) Mining and Visualizing Connection Pathways in Large Information Networks.
In: Proceedings of the Workshop on Information in Networks (WIN).

Vreeken, Jilles and Ling, Charles X. and Siebes, Arno and Zaki, Mohammed J. and Xu Yu, Jeffrey and Goethals, Bart and Webb, Geoffrey I. and Wu, Xindong
(2012) Proceedings of the 12th IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2012.
IEEE.

Vreeken, Jilles and van Leeuwen, Matthijs and Nijssen, Siegfried and Tatti, Nikolaj and Dries, Anton and Goethals, Bart
(2012) Proceedings of the ECML PKDD Workshop on Instant Interactive Data Mining (IID).
UNSPECIFIED.

Prakash, B. Aditya and Vreeken, Jilles and Faloutsos, Christos
(2012) Spotting Culprits in Epidemics: How many and Which ones?
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Vreeken, Jilles and Tatti, Nikolaj
(2012) Summarising Event Sequences with Serial Episodes.
In: Proceedings of the fifth Workshop on Information Theoretic Methods in Science and Engineering (WITMSE).

Mampaey, Michael and Vreeken, Jilles and Tatti, Nikolaj
(2012) Summarizing Data Succinctly with the Most Informative Itemsets.
Transactions on Knowledge Discovery from Data. pp. 1-44.

Wu, Hao and Mampaey, Michael and Tatti, Nikolaj and Vreeken, Jilles and Hossain, M.Shariar and Ramakrishnan, Naren
(2012) Where Do I Start? Algorithmic Strategies to Guide Intelligence Analysts.
In: Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics (ISI-KDD).

Smets, Koen and Vreeken, Jilles
(2012) \textsc Slim : Directly Mining Descriptive Patterns.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Chau, Duen Horng and Akoglu, Leman and Vreeken, Jilles and Tong, Hanghang and Faloutsos, Christos
(2012) \textsc TourViz : Interactive Visualization of Connection Pathways in Large Graphs.
In: Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Tatti, Nikolaj and Vreeken, Jilles
(2011) Comparing Apples and Oranges: Measuring Differences between Data Mining Results.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Vreeken, Jilles and van Leeuwen, Matthijs and Siebes, Arno
(2011) Krimp: Mining Itemsets that Compress.
Data Minining and Knowledge Discovery, 23 (1). pp. 169-214.

Goethals, Bart and Moens, Sandy and Vreeken, Jilles
(2011) MIME: A Framework for Interactive Visual Pattern Mining.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Goethals, Bart and Moens, Sandy and Vreeken, Jilles
(2011) MIME: A Framework for Interactive Visual Pattern Mining.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Kontonasios, Kleanthis-Nikolaos and Vreeken, Jilles and De, Tijl
(2011) Maximum Entropy Modelling for Assessing Results on Real-Valued Data.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Miettinen, Pauli and Vreeken, Jilles
(2011) Model Order Selection for Boolean Matrix Factorization.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Smets, Koen and Vreeken, Jilles
(2011) The Odd One Out: Identifying and Characterising Anomalies.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Mampaey, Michael and Tatti, Nikolaj and Vreeken, Jilles
(2011) Tell Me What I Need to Know: Succinctly Summarizing Data with Itemsets.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Remmerie, Noor and Vijlder, Thomas De and Valkenborg, Dirk and Laukens, Kris and Smets, Koen and Vreeken, Jilles and Mertens, Inge and Carpentier, Sebastien and Panis, Bart and de Jaeger, Geert and Prinsen, Els and Witters, Erwin
(2011) Unraveling tobacco BY-2 protein complexes with BN PAGE/LC-MS/MS and clustering methods.
Journal of Proteomics, 74 (8). pp. 1201-1217.

Vreeken, Jilles and Zimek, Arthur
(2011) When Pattern met Subspace Cluster, a Relationship Story.
In: Proceedings of the 2nd Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust).

Vreeken, Jilles
(2010) Making Pattern Mining Useful.
SIGKDD Explorations, 12 (1). pp. 75-76.

Mampaey, Michael and Vreeken, Jilles
(2010) Summarising Data by Clustering Items.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECMLPKDD).

Vreeken, Jilles and Tatti, Nikolaj and Goethals, Bart
(2010) UP '10: Proceedings of the ACM SIGKDD Workshop on Useful Patterns.
ACM Press, New York, NY, USA.

Vreeken, Jilles and Tatti, Nikolaj and Goethals, Bart
(2010) Useful Patterns (UP’10) ACM SIGKDD Workshop Report.
SIGKDD Explorations, 12 (2). pp. 56-58.

Vreeken, Jilles
(2009) Making Pattern Mining Useful.
Doctoral thesis, Universiteit Utrecht.

van Leeuwen, Matthijs and Vreeken, Jilles and Siebes, Arno
(2009) Identifying the Components.
Data Mining and Knowledge Discovery, 19 (2). pp. 173-292.

Heikinheimo, Hannes and Vreeken, Jilles and Siebes, Arno and Mannila, Heikki
(2009) Low-Entropy Set Selection.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).

Vreeken, Jilles and Siebes, A.
(2008) Filling in the Blanks - Krimp Minimisation for Missing Data.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).

Tatti, Nikolaj and Vreeken, Jilles
(2008) Finding Good Itemsets by Packing Data.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Vreeken, Jilles and Leeuwen, M. van and Siebes, A.
(2007) Characterising the Difference.
In: KDD07.

Siebes, Arno and van Leeuwen, Matthijs and Vreeken, Jilles
(2007) MDL for Pattern Mining.
In: Proceedings of the International Conference on Statistics for Data Mining, Learning and Knowledge Extraction Models (IASC).

Vreeken, Jilles and Leeuwen, M. van and Siebes, A.
(2007) Preserving Privacy through Data Generation.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).

Leeuwen, M. van and Vreeken, Jilles and Siebes, A.
(2006) Compression Picks Item Sets That Matter.
In: KDD06.

Siebes, A. and Vreeken, Jilles and Leeuwen, M. van
(2006) Item Sets that Compress.
In: Proceedings of the SIAM International Conference on Data Mining (SDM).

Wiering, Marco and Van Veenen, Jelle and Vreeken, Jilles and Koopman, Arne
(2004) Simulation and Optimization of Traffic in a City.
In: Proceedings of the IEEE Intelligent Vehicles Symposium (IV).

This list was generated on Sun Dec 22 09:41:41 2024 CET.
CISPA is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.