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...
| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
MDPI AG
2018-02-01
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| Sarja: | Applied Sciences |
| Aiheet: | |
| Linkit: | http://www.mdpi.com/2076-3417/8/2/230 |