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2020 – today
- 2024
[c9]Abdoulaye Diop
, Nabil El Malki, Max Chevalier, André Péninou, Geoffrey Roman-Jimenez, Olivier Teste:
Similarity Measures Recommendation for Mixed Data Clustering. SSDBM 2024: 3:1-3:10- 2023
- [c8]Valentin Boulisset, Jean-Luc Attié, Ronan Tournier, Nabil El Malki, Xavier Ceamanos-Garcia, Javier Andrey, Eric Pequignot:
Classification de surfaces dans une image hyperspectrale urbaine par réseau de neurones pour la qualité de l'air. APIA 2023: 24-27 - [i1]Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat:
DECWA : Density-Based Clustering using Wasserstein Distance. CoRR abs/2310.16552 (2023) - 2022
- [c7]Abdoulaye Diop, Nabil El Malki, Max Chevalier, André Péninou, Olivier Teste:
Impact of similarity measures on clustering mixed data. SSDBM 2022: 9:1-9:12 - 2021
- [b1]Nabil El Malki:
New Partition-based and Density-based approaches for improving clustering. (Nouvelles approches basées sur la partition et la densité pour l'amélioration du clustering). University of Toulouse-Jean Jaurès, France, 2021 - [c6]Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat:
A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data. DaWaK 2021: 167-179 - 2020
- [c5]Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat:
DECWA: Density-Based Clustering using Wasserstein Distance. CIKM 2020: 2005-2008 - [c4]Nabil El Malki, Franck Ravat, Olivier Teste:
KD-means: Clustering Method for Massive Data based on KD-tree. DOLAP 2020: 26-35
2010 – 2019
- 2019
- [c3]Nabil El Malki, Franck Ravat, Olivier Teste:
Accélération de k-means par pré-calcul dynamique d'agrégats. EGC 2019: 255-260 - [c2]Nabil El Malki, Franck Ravat, Olivier Teste:
k-means Improvement by Dynamic Pre-aggregates. ICEIS (1) 2019: 133-140 - 2018
- [c1]Mohammed El Malki, Hamdi Ben Hamadou, Nabil El Malki, Arlind Kopliku:
MPT: Suite Tools to Support Performance Tuning in NoSQL Systems. ICEIS (1) 2018: 127-134
Coauthor Index
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