Decentralized big data mining: federated learning for clustering youth tobacco use in India

Abstract This study examines the smoking patterns of youth across various states and union territories of India using the Global Youth Tobacco Survey (GYTS) dataset. The analysis employs three clustering algorithms K-Means, DBSCAN, and Hierarchical Clustering within a federated learning framework, w...

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Autors principals:	Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2024-12-01
Col·lecció:	Journal of Big Data
Matèries:	Big data Federated learning for big data Big data privacy Federated learning Decentralized data mining Clustering algorithms
Accés en línia:	https://doi.org/10.1186/s40537-024-01042-0
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