Ahmed Anes Bendimerad

Orcid: 0000-0002-3347-6094

According to our database1, Ahmed Anes Bendimerad authored at least 19 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review.
CoRR, 2024

DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Exploiting Formal Concept Analysis for Data Modeling in Data Lakes.
Proceedings of the Conceptual Knowledge Structures - First International Joint Conference, 2024

2023
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report.
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.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
User-Driven Geolocated Event Detection in Social Media.
IEEE Trans. Knowl. Data Eng., 2021

"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
SIAS-miner: mining subjectively interesting attributed subgraphs.
Data Min. Knowl. Discov., 2020

Gibbs Sampling Subjectively Interesting Tiles.
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).
PhD thesis, 2019

Mining Subjectively Interesting Attributed Subgraphs.
CoRR, 2019

Contrastive Antichains in Hierarchies.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
Mining exceptional closed patterns in attributed graphs.
Knowl. Inf. Syst., 2018

2017
Exceptional contextual subgraph mining.
Mach. Learn., 2017

Contextual Subgraph Discovery with Mobility Models.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016


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