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

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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Bibliographic Details
Main Authors: Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Journal of Big Data
Subjects:
Big data
Federated learning for big data
Big data privacy
Federated learning
Decentralized data mining
Clustering algorithms
Online Access:https://doi.org/10.1186/s40537-024-01042-0

Internet

https://doi.org/10.1186/s40537-024-01042-0

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