A Parallel Approach for Frequent Subgraph Mining in a Single Large Graph Using Spark

A Parallel Approach for Frequent Subgraph Mining in a Single Large Graph Using Spark

Frequent subgraph mining (FSM) plays an important role in graph mining, attracting a great deal of attention in many areas, such as bioinformatics, web data mining and social networks. In this paper, we propose SSiGraM (Spark based Single Graph Mining), a Spark based parallel frequent subgraph minin...

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Detalles Bibliográficos
Autores principales: Fengcai Qiao, Xin Zhang, Pei Li, Zhaoyun Ding, Shanshan Jia, Hui Wang
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2018-02-01
Colección:Applied Sciences
Materias:
frequent subgraph mining
parallel, algorithm
constraint satisfaction problem
Spark
Acceso en línea:http://www.mdpi.com/2076-3417/8/2/230

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