MinerLSD: efficient mining of local patterns on attributed networks

MinerLSD: efficient mining of local patterns on attributed networks

Abstract Local pattern mining on attributed networks is an important and interesting research area combining ideas from network analysis and data mining. In particular, local patterns on attributed networks allow both the characterization in terms of their structural (topological) as well as composi...

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Bibliographic Details
Main Authors: Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:Applied Network Science
Subjects:
Complex networks
Attributed networks
Closed pattern mining
Network analysis and mining
Graph mining
Community detection
Online Access:http://link.springer.com/article/10.1007/s41109-019-0155-y

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http://link.springer.com/article/10.1007/s41109-019-0155-y

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