3 papers
cs.DB2025
Efficiently Sampling Interval Patterns from Numerical Databases
Djawad Bekkoucha, Lamine Diop, Abdelkader Ouali +2
Pattern sampling has emerged as a promising approach for information discovery in large databases, allowing analysts to focus on a manageable subset of patterns. In this approach,…
cs.LG2024
RPS: A Generic Reservoir Patterns Sampler
Lamine Diop, Marc Plantevit, Arnaud Soulet
Efficient learning from streaming data is important for modern data analysis due to the continuous and rapid evolution of data streams. Despite significant advancements in stream p…
cs.DB2024
Scalable Sampling for High Utility Patterns
Lamine Diop, Marc Plantevit
Discovering valuable insights from data through meaningful associations is a crucial task. However, it becomes challenging when trying to identify representative patterns in quanti…