Mohammed Ghesmoune

According to our database1, Mohammed Ghesmoune authored at least 12 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données.
Proceedings of the Extraction et Gestion des Connaissances, 2020

2019
Soft Subspace Topological Clustering over Evolving Data Stream.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Soft Subspace Growing Neural Gas for Data Stream Clustering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
A Complete Data Science Work-flow For Insurance Field.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Big Data: from collection to visualization.
Mach. Learn., 2017

2016
Apprentissage non supervisé de flux de données massives: application aux Big Data d'assurance. (Unsupervided learning of massive data streams: application to Big Data in insurance).
PhD thesis, 2016

A new Growing Neural Gas for clustering data streams.
Neural Networks, 2016

2015
Clustering Over Data Streams Based on Growing Neural Gas.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming.
Proceedings of the INNS Conference on Big Data 2015, 2015

Growing Hierarchical Trees for Data Stream clustering and visualization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Clustering topologique pour le flux de données.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
G-Stream: Growing Neural Gas over Data Stream.
Proceedings of the Neural Information Processing - 21st International Conference, 2014


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