12 citations · 19 across the 7 of their papers we have counts for
8 papers
Exploiting Formal Concept Analysis for Data Modeling in Data Lakes
Anes Bendimerad, Romain Mathonat, Youcef Remil +1
Data lakes are widely used to store extensive and heterogeneous datasets for advanced analytics. However, the unstructured nature of data in these repositories introduces complexit…
AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review
Youcef Remil, Anes Bendimerad, Romain Mathonat +1
The management of modern IT systems poses unique challenges, necessitating scalability, reliability, and efficiency in handling extensive data streams. Traditional methods, reliant…
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
Youcef Remil, Anes Bendimerad, Mathieu Chambard +3
Software applications, especially Enterprise Resource Planning (ERP) systems, are crucial to the day-to-day operations of many industries. Therefore, it is essential to maintain th…
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis
Youcef Remil, Anes Bendimerad, Romain Mathonat +2
Among daily tasks of database administrators (DBAs), the analysis of query workloads to identify schema issues and improving performances is crucial. Although DBAs can easily pinpo…
On Pattern Setups and Pattern Multistructures
Aimene Belfodil, Sergei Kuznetsov, Mehdi Kaytoue
Modern order and lattice theory provides convenient mathematical tools for pattern mining, in particular for condensed irredundant representations of pattern spaces and their effic…
Anytime Discovery of a Diverse Set of Patterns with Monte Carlo Tree Search
Guillaume Bosc, Jean-François Boulicaut, Chedy Raïssi +1
The discovery of patterns that accurately discriminate one class label from another remains a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that en…
Identifying Avatar Aliases in Starcraft 2
Olivier Cavadenti, Victor Codocedo, Jean-François Boulicaut +1
In electronic sports, cyberathletes conceal their online training using different avatars (virtual identities), allowing them not being recognized by the opponents they may face in…
Mining Biclusters of Similar Values with Triadic Concept Analysis
Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko +2
Biclustering numerical data became a popular data-mining task in the beginning of 2000's, especially for analysing gene expression data. A bicluster reflects a strong association b…