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Identifying exceptional (dis) agreement between groups

, , , and . Data Mining and Knowledge Discovery, 34 (2): 394--442 (2020)

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Mining Disjunctive Rules in Dynamic Graphs., , and . RIVF, page 1-6. IEEE, (2012)OLAP-Sequential Mining: Summarizing Trends from Historical., , and . New Trends in Data Warehousing and Data Analysis, volume 3 of Annals of Information Systems, Springer, (2009)Improving the Quality of Rule-Based GNN Explanations., , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 467-482. Springer, (2022)Contrastive Antichains in Hierarchies., , , , and . KDD, page 294-304. ACM, (2019)Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept., , , , and . DS, volume 11198 of Lecture Notes in Computer Science, page 276-291. Springer, (2018)Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN., , , , and . EGC, volume E-38 of RNTI, page 159-170. Editions RNTI, (2022)Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies., , and . DaWaK, volume 5182 of Lecture Notes in Computer Science, page 156-165. Springer, (2008)Sampling Rank Correlated Subgroups, , , and . Distributed Computing and Artificial Intelligence, 16th International Conference, page 217--225. Cham, Springer International Publishing, (2020)Rank correlated subgroup discovery., , , , and . J. Intell. Inf. Syst., 53 (2): 305-328 (2019)User-Driven Geolocated Event Detection in Social Media., , , and . IEEE Trans. Knowl. Data Eng., 33 (2): 796-809 (2021)