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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Ngā kaituhi matua:	Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	SpringerOpen 2024-12-01
Rangatū:	Journal of Big Data
Ngā marau:	Big data Federated learning for big data Big data privacy Federated learning Decentralized data mining Clustering algorithms
Urunga tuihono:	https://doi.org/10.1186/s40537-024-01042-0
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

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

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