An Efficient Approach for Mining Frequent Subgraphs

Author:

Alam TahiraORCID,Zahin Sabit AnwarORCID,Samiullah Md.ORCID,Ahmed Chowdhury FarhanORCID

Publisher

Springer International Publishing

Reference5 articles.

1. Cheng, W., Yan, C.: A graph approach to mining biological patterns in the binding interfaces. J. Comput. Biol. 24(1), 31–39 (2017)

2. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Inokuchi,2000

3. Kuramochi, M., Karypis, G.: Frequent subgraph discovery. In: ICDM 2001, USA, pp. 313–320 (2001)

4. Rao, B., Mishra, B.K.: An approach to clustering of text documents using graph mining techniques. IJRSDA 4(1), 38–55 (2017)

5. Yan, X., Han, J.: gSpan: Graph-based substructure pattern mining. In: ICDM 2002, Japan (2002)

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