Aug 6, 2021 · To address this problem, we propose an original data-mining method rooted in Subgroup Discovery, a pattern mining technique with the natural ...
[PDF] Interpretable Summaries of Black Box Incident Triaging with Subgroup ...
hal.science › document
Apr 1, 2022 · To address this problem, we propose an original data-mining method rooted in. Subgroup Discovery, a pattern mining technique with the natural.
Abstract—The need of predictive maintenance comes with an increasing number of incidents reported by monitoring systems and equipment/software users.
Aug 9, 2021 · To address this problem, we propose an original data-mining method rooted in Subgroup Discovery, a pattern mining technique with the natural ...
In this paper, we propose an efficient black box model based on 170K incidents reported to our company over the last 7 years and emphasize on the need of ...
Bibliographic details on Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery.
Kaytoue, Interpretable summaries of black box incident triaging with subgroup discovery. in Proceedings of 8th IEEE International Conference on Data Science ...
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis · Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery.
Subgroup discovery is a descriptive and exploratory data mining technique to identify subgroups in a population that exhibit interesting behavior.
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. Y Remil, A Bendimerad, M Plantevit, C Robardet, M Kaytoue. IEEE International ...