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ORCIDAhmed Anes Bendimerad
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2020 – today
- 2024
[c12]Anes Bendimerad, Romain Mathonat, Youcef Remil, Mehdi Kaytoue:
Exploiting Formal Concept Analysis for Data Modeling in Data Lakes. CONCEPTS 2024: 270-285- [c11]Youcef Remil
, Anes Bendimerad, Romain Mathonat, Chedy Raïssi, Mehdi Kaytoue:
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection. ICSE 2024: 198:1-198:12 - [i8]Youcef Remil, Anes Bendimerad, Romain Mathonat, Mehdi Kaytoue:
AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review. CoRR abs/2404.01363 (2024) - [i7]Anes Bendimerad, Romain Mathonat, Youcef Remil, Mehdi Kaytoue:
Exploiting Formal Concept Analysis for Data Modeling in Data Lakes. CoRR abs/2408.13265 (2024) - 2023
- [c10]Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. ICDM (Workshops) 2023: 1221-1230 - [c9]Anes Bendimerad, Youcef Remil, Romain Mathonat, Mehdi Kaytoue:
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report. ESEC/SIGSOFT FSE 2023: 1820-1831 - [i6]Anes Bendimerad, Youcef Remil, Romain Mathonat, Mehdi Kaytoue:
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report. CoRR abs/2308.11225 (2023) - [i5]Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. CoRR abs/2310.00781 (2023) - [i4]Youcef Remil, Anes Bendimerad, Romain Mathonat, Chedy Raïssi, Mehdi Kaytoue:
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection. CoRR abs/2310.06703 (2023) - 2022
- [c8]Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. EGC 2022: 411-418 - 2021
- [j4]Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia:
User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. 33(2): 796-809 (2021) - [c7]Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA 2021: 1-10 - [c6]Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue:
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. ASE 2021: 642-652 - [i3]Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR abs/2108.03013 (2021) - [i2]Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue:
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. CoRR abs/2108.03906 (2021) - 2020
- [j3]Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
SIAS-miner: mining subjectively interesting attributed subgraphs. Data Min. Knowl. Discov. 34(2): 355-393 (2020) - [c5]Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Gibbs Sampling Subjectively Interesting Tiles. IDA 2020: 80-92
2010 – 2019
- 2019
- [b1]Ahmed Anes Bendimerad:
Mining Useful Patterns in Attributed Graphs. (Fouille de motifs utiles dans les graphes attribués). University of Lyon, France, 2019 - [c4]Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit:
FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. DSAA 2019: 91-99 - [c3]Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Contrastive Antichains in Hierarchies. KDD 2019: 294-304 - [i1]Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Mining Subjectively Interesting Attributed Subgraphs. CoRR abs/1905.03040 (2019) - 2018
- [j2]Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. 56(1): 1-25 (2018) - 2017
- [j1]Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet:
Exceptional contextual subgraph mining. Mach. Learn. 106(8): 1171-1211 (2017) - [c2]Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet:
Contextual Subgraph Discovery with Mobility Models. COMPLEX NETWORKS 2017: 477-489 - 2016
- [c1]Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. ICDM 2016: 21-30
Coauthor Index
aka: Mehdi Kaytoue
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