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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מידע ביבליוגרפי
Main Authors: Fengcai Qiao, Xin Zhang, Pei Li, Zhaoyun Ding, Shanshan Jia, Hui Wang
פורמט: Article
שפה:English
יצא לאור: MDPI AG 2018-02-01
סדרה:Applied Sciences
נושאים:
frequent subgraph mining
parallel, algorithm
constraint satisfaction problem
Spark
גישה מקוונת:http://www.mdpi.com/2076-3417/8/2/230

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