Random sampling method of large-scale graph data classification

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Random sampling method of large-scale graph data classification

Graph data appears in broad real-world applications in modelling complex objects in big data. Effective analysis of graph data provides a deeper understanding of the data in data mining tasks, including classification, clustering, prediction, and recommendation systems. Mining a large number of gr...

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Bibliographic Details
Main Authors:	Rashed Mustafa, Mohammad Sultan Mahmud, Mahir Shadid
Format:	Article
Language:	English
Published:	Fakulti Kejuruteraan ,UKM,Bangi. 2024
Online Access:	http://journalarticle.ukm.my/25235/ http://journalarticle.ukm.my/25235/1/kejut_14.pdf

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