Special Issue: Advances in Knowledge Discovery and Management, Best Papers of EGC 2024
Editeurs invités: Jérôme Gensel, Christophe Cruz & Hocine Cherifi
Data & Knowledge Engineering. Volume 156. mars 2025. https://doi.org/10.1016/j.datak.2025.102420
Table des matières
Gaël Marec, Nédra Mellouli. Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis. https://doi.org/10.1016/j.datak.2025.102411
Christophe Rodrigues, Marius Ortega, Aurélien Bossard, Nédra Mellouli. REDIRE: Extreme REduction DImension for extRactivE Summarization. https://doi.org/10.1016/j.datak.2025.102407
Wissal Benjira, Faten Atigui, Bénédicte Bucher, Malika Grim-Yefsah, Nicolas Travers. Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach. https://doi.org/10.1016/j.datak.2024.102405
Danrun Cao, Nicolas Béchet, Pierre-François Marteau, Oussama Ahmia. Textual data augmentation using generative approaches – Impact on named entity recognition tasks. https://doi.org/10.1016/j.datak.2024.102403
Thomas Guyet, Pierre Pinson, Enoal Gesny. Clustering of timed sequences – Application to the analysis of care pathways. https://doi.org/10.1016/j.datak.2024.102401
Louenas Bounia, Insaf Setitra. Enhancing the intelligibility of decision trees with concise and reliable probabilistic explanations. https://doi.org/10.1016/j.datak.2024.102394
François Camelin, Samir Loudni, Gilles Pesant, Charlotte Truchet. Coupling MDL and Markov chain Monte Carlo to sample diverse pattern sets. https://doi.org/10.1016/j.datak.2024.102393
Aya Sahbi, Céline Alec, Pierre Beust. Semantic vs. LLM-based approach: A case study of KOnPoTe vs. Claude for ontology population from French advertisements. https://doi.org/10.1016/j.datak.2024.102392
Mathieu Chartier, Nabil Dakkoune, Guillaume Bourgeois, Stéphane Jean. HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models. https://doi.org/10.1016/j.datak.2024.102383
Hugo Attali, Davide Buscaldi, Nathalie Pernelle. Curvature constrained MPNNs: Improving message passing with local structural properties. https://doi.org/10.1016/j.datak.2024.102382