State-of-the-art on clustering data streams M Ghesmoune, M Lebbah, H Azzag Big Data Analytics 1, 1-27, 2016 | 92 | 2016 |
A new growing neural gas for clustering data streams M Ghesmoune, M Lebbah, H Azzag Neural Networks 78, 36-50, 2016 | 53 | 2016 |
Micro-batching growing neural gas for clustering data streams using spark streaming M Ghesmoune, M Lebbah, H Azzag Procedia Computer Science 53, 158-166, 2015 | 27 | 2015 |
G-stream: Growing neural gas over data stream M Ghesmoune, H Azzag, M Lebbah Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014 | 20 | 2014 |
Clustering over data streams based on growing neural gas M Ghesmoune, M Lebbah, H Azzag Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 18 | 2015 |
State-ofthe-art on clustering data streams M Ghesmoune, M Lebbah, H Azzag Big Data Analytics 1 (1), 13, 2016 | 16 | 2016 |
Big Data: from collection to visualization M Ghesmoune, H Azzag, S Benbernou, M Lebbah, T Duong, M Ouziri Machine learning 106, 837-862, 2017 | 8 | 2017 |
Growing hierarchical trees for data stream clustering and visualization NQ Doan, M Ghesmoune, H Azzag, M Lebbah 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 4 | 2015 |
Soft subspace growing neural gas for data stream clustering MO Attaoui, M Lebbah, N Keskes, H Azzag, M Ghesmoune Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019 | 2 | 2019 |
Soft subspace topological clustering over evolving data stream MO Attaoui, M Lebbah, N Keskes, H Azzag, M Ghesmoune Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering …, 2020 | 1 | 2020 |
Anonymisation de réseaux sociaux M Ghesmoune Ph. D. thesis, INRIA-IRISA Rennes Bretagne Atlantique, équipe, 2012 | 1 | 2012 |
Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. MO Attaoui, M Lebbah, N Keskes, H Azzag, M Ghesmoune EGC, 441-448, 2020 | | 2020 |
A Complete Data Science Work-flow For Insurance Field M Ghesmoune, M Lebbah, H Azzag, S Benbernou, M Ouziri, T Duong 2018 IEEE International Conference on Big Data (Big Data), 1925-1930, 2018 | | 2018 |
Unsupervided learning of massive data streams: application to Big Data in insurance M Ghesmoune < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2016 | | 2016 |
Apprentissage non supervisé de flux de données massives: application aux Big Data d'assurance M Ghesmoune Université Sorbonne Paris Cité, 2016 | | 2016 |
Clustering topologique pour le flux de données. M Ghesmoune, M Lebbah, H Azzag EGC, 137-142, 2015 | | 2015 |
Scalable Clustering Algorithm M Ghesmoune, T Sarazin, M Lebbah, H Azzag | | |
Data Stream Clustering Based on Micro-Batch Growing Neural Gas Using Spark Streaming M Ghesmoune, M Lebbah, H Azzag | | |