Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. - Ahmed Anes Bendimerad; Marc Plantevit; Céline Robardet (ICDM, 2016)

Contextual Subgraph Discovery with Mobility Models. - Ahmed Anes Bendimerad; Rémy Cazabet; Marc Plantevit; Céline Robardet (COMPLEX NETWORKS, 2017)

Exceptional contextual subgraph mining. - Mehdi Kaytoue; Marc Plantevit; Albrecht Zimmermann; Ahmed Anes Bendimerad; Céline Robardet (Mach. Learn., 2017)

Mining exceptional closed patterns in attributed graphs. - Ahmed Anes Bendimerad; Marc Plantevit; Céline Robardet (Knowl. Inf. Syst., 2018)

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. - Adnene Belfodil; Aimene Belfodil; Anes Bendimerad; Philippe Lamarre; Céline Robardet; Mehdi Kaytoue; Marc Plantevit (DSAA, 2019)

Contrastive Antichains in Hierarchies. - Anes Bendimerad; Jefrey Lijffijt; Marc Plantevit; Céline Robardet; Tijl De Bie (KDD, 2019)

Mining Subjectively Interesting Attributed Subgraphs. - Anes Bendimerad; Ahmad Mel; Jefrey Lijffijt; Marc Plantevit; Céline Robardet; Tijl De Bie (CoRR, 2019)

Mining Useful Patterns in Attributed Graphs. (Fouille de motifs utiles dans les graphes attribués). - Ahmed Anes Bendimerad (2019)

Gibbs Sampling Subjectively Interesting Tiles. - Anes Bendimerad; Jefrey Lijffijt; Marc Plantevit; Céline Robardet; Tijl De Bie (IDA, 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)

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. - Youcef Remil; Anes Bendimerad; Marc Plantevit; Céline Robardet; Mehdi Kaytoue (DSAA, 2021)

"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. - Youcef Remil; Anes Bendimerad; Romain Mathonat; Philippe Chaleat; Mehdi Kaytoue (ASE, 2021)

User-Driven Geolocated Event Detection in Social Media. - Anes Bendimerad; Marc Plantevit; Céline Robardet; Sihem Amer-Yahia (IEEE Trans. Knowl. Data Eng., 2021)

Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. - Youcef Remil; Anes Bendimerad; Marc Plantevit; Céline Robardet; Mehdi Kaytoue (EGC, 2022)

Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. - Youcef Remil; Anes Bendimerad; Mathieu Chambard; Romain Mathonat; Marc Plantevit; Mehdi Kaytoue (ICDM (Workshops), 2023)

On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report. - Anes Bendimerad; Youcef Remil; Romain Mathonat; Mehdi Kaytoue (ESEC/SIGSOFT FSE, 2023)

Exploiting Formal Concept Analysis for Data Modeling in Data Lakes. - Anes Bendimerad; Romain Mathonat; Youcef Remil; Mehdi Kaytoue (CONCEPTS, 2024)

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 (ICSE, 2024)

AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review. - Youcef Remil; Anes Bendimerad; Romain Mathonat; Mehdi Kaytoue (CoRR, 2024)