| Exceptional contextual subgraph mining M Kaytoue, M Plantevit, A Zimmermann, A Bendimerad, C Robardet Machine Learning 106, 1171-1211, 2017 | 46 | 2017 |
| Fssd-a fast and efficient algorithm for subgroup set discovery A Belfodil, A Belfodil, A Bendimerad, P Lamarre, C Robardet, M Kaytoue, ... 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 35 | 2019 |
| Unsupervised exceptional attributed sub-graph mining in urban data AA Bendimerad, M Plantevit, C Robardet 2016 IEEE 16th International Conference on Data Mining (ICDM), 21-30, 2016 | 30 | 2016 |
| Mining exceptional closed patterns in attributed graphs A Bendimerad, M Plantevit, C Robardet Knowledge and Information Systems 56, 1-25, 2018 | 23 | 2018 |
| User-driven geolocated event detection in social media A Bendimerad, M Plantevit, C Robardet, S Amer-Yahia IEEE Transactions on Knowledge and Data Engineering 33 (2), 796-809, 2019 | 19 | 2019 |
| " What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis Y Remil, A Bendimerad, R Mathonat, P Chaleat, M Kaytoue 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 14 | 2021 |
| Contextual subgraph discovery with mobility models A Bendimerad, R Cazabet, M Plantevit, C Robardet Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2018 | 10 | 2018 |
| Interpretable summaries of black box incident triaging with subgroup discovery Y Remil, A Bendimerad, M Plantevit, C Robardet, M Kaytoue 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 9 | 2021 |
| SIAS-miner: mining subjectively interesting attributed subgraphs A Bendimerad, A Mel, J Lijffijt, M Plantevit, C Robardet, T De Bie Data Mining and Knowledge Discovery 34 (2), 355-393, 2020 | 9* | 2020 |
| Mining useful patterns in attributed graphs A Bendimerad Université de Lyon, 2019 | 9 | 2019 |
| Contrastive antichains in hierarchies A Bendimerad, J Lijffijt, M Plantevit, C Robardet, T De Bie Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 7 | 2019 |
| Aiops solutions for incident management: Technical guidelines and a comprehensive literature review Y Remil, A Bendimerad, R Mathonat, M Kaytoue arXiv preprint arXiv:2404.01363, 2024 | 6 | 2024 |
| Deeplsh: Deep locality-sensitive hash learning for fast and efficient near-duplicate crash report detection Y Remil, A Bendimerad, R Mathonat, C Raïssi, M Kaytoue Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 4 | 2024 |
| Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets Y Remil, A Bendimerad, M Chambard, R Mathonat, M Plantevit, ... 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1221-1230, 2023 | 3 | 2023 |
| On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report A Bendimerad, Y Remil, R Mathonat, M Kaytoue Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 2 | 2023 |
| Gibbs sampling subjectively interesting tiles A Bendimerad, J Lijffijt, M Plantevit, C Robardet, T De Bie Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020 | 2 | 2020 |
| A phased approach for the adaptation of telemedicine in arrythmia management A Bendimerad, ZE Hadj Slimane, A Bendimerad Review of Scientific Instruments 92 (8), 2021 | 1 | 2021 |
| Exploiting Formal Concept Analysis for Data Modeling in Data Lakes A Bendimerad, R Mathonat, Y Remil, M Kaytoue International Joint Conference on Conceptual Knowledge Structures, 270-285, 2024 | | 2024 |
| Découverte de sous-groupes de prédictions interprétables pour le triage d’incidents Y Remil, A Bendimerad, M Plantevit, C Robardet, M Kaytoue Extraction et Gestion des Connaissances (EGC'2022), 2022 | | 2022 |
| 2021 Index IEEE Transactions on Knowledge and Data Engineering Vol. 33 R Abasi, S Abbar, C Aggarwal, CC Aggarwal, M Ahmed, CG Akcora, ... IEEE Transactions on Knowledge and Data Engineering 34 (1), 2022 | | 2022 |
Marc PlantevitProfessor at EPITA, Deputy head of EPITA Research Lab (LRE)Verified email at lrde.epita.fr
