Items where Division is "Jilles Vreeken (Exploratory Data Analysis)" and Year is 2020

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Number of items: 11.

Conference or Workshop Item (A Paper)

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)

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) 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)

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)

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

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

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

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

Article

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

Thesis

Budhathoki, Kailash
(2020) Causal Inference on Discrete Data.
Doctoral thesis, Saarland University.

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