Special Section on Advances in knowledge discovery and management, best papers of EGC 2022
Editors: Sihem Amer-Yahia & Arnaud Soulet
Data & Knowledge Engineering. Volume 142. nov. 2022.
Table des matières
Louis Geiler, Séverine Affeldt, Mohamed Nadif. An effective strategy for churn prediction and customer profiling. https://doi.org/10.1016/j.datak.2022.102100
Esso-Ridah Bleza, Valérie Monbet, Pierre-François Marteau. Pollen risk levels prediction from multi-source historical data. https://doi.org/10.1016/j.datak.2022.102096
Rafael Ramos Tubino, Céline Robardet, Rémy Cazabet. Towards a better identification of Bitcoin actors by supervised learning. https://doi.org/10.1016/j.datak.2022.102094
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet. In pursuit of the hidden features of GNN’s internal representations. https://doi.org/10.1016/j.datak.2022.102097
Pierre-Yves Genest, Laurent-Walter Goix, Yasser Khalafaoui, Előd Egyed-Zsigmond, Nistor Grozavu. French translation of a dialogue dataset and text-based emotion detection. https://doi.org/10.1016/j.datak.2022.102099
Medjeu Fopa, Modou Gueye, Samba Ndiaye, Hubert Naacke. A parameter-free KNN for rating prediction. https://doi.org/10.1016/j.datak.2022.102095
Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Alice Brenon, Ludovic Moncla, Katherine McDonough, Pierre Marquis. On the explanatory power of Boolean decision trees. https://doi.org/10.1016/j.datak.2022.102088
Alice Brenon, Ludovic Moncla, Katherine McDonough. Classifying encyclopedia articles: Comparing machine and deep learning methods and exploring their predictions. https://doi.org/10.1016/j.datak.2022.102098