Ahmed Anes Bendimerad

According to our database, Ahmed Anes Bendimerad authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection.

Youcef Remil, Anes Bendimerad, Romain Mathonat, Chedy Raïssi, Mehdi Kaytoue

CoRR, 2023

On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report.

Anes Bendimerad, Youcef Remil, Romain Mathonat, Mehdi Kaytoue

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets.

Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents.

Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue

Proceedings of the Extraction et Gestion des Connaissances, 2022

2021

User-Driven Geolocated Event Detection in Social Media.

Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia

IEEE Trans. Knowl. Data Eng., 2021

"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis.

Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery.

Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

SIAS-miner: mining subjectively interesting attributed subgraphs.

Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie

Data Min. Knowl. Discov., 2020

Gibbs Sampling Subjectively Interesting Tiles.

Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Mining Useful Patterns in Attributed Graphs. (Fouille de motifs utiles dans les graphes attribués).

Ahmed Anes Bendimerad

PhD thesis, 2019

Mining Subjectively Interesting Attributed Subgraphs.

Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie

CoRR, 2019

Contrastive Antichains in Hierarchies.

Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery.

Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Mining exceptional closed patterns in attributed graphs.

Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet

Knowl. Inf. Syst., 2018

2017

Exceptional contextual subgraph mining.

Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet

Mach. Learn., 2017

Contextual Subgraph Discovery with Mobility Models.

Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data.

Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet

Proceedings of the IEEE 16th International Conference on Data Mining, 2016