Discovering Correlation in Frequent Subgraphs-Reference-Cited by-同舟云学术

Discovering Correlation in Frequent Subgraphs

Published:2019 Issue: Volume: Page:1045-1062
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Upoma Fariha Moomtaheen,Khan Salsabil Ahmed,Ahmed Chowdhury Farhan,Alam Tahira,Zahin Sabit Anwar,Leung Carson K.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19063-7_83

Reference15 articles.

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2. Balaji Raja, N., Balakrishnan, G.: An innovative approach to association rule mining using graph and clusters. In: CCSIT 2012, pp. 59–67 (2012)

3. AlZoubi, W.: An improved graph based method for extracting association rules. IJSEA 6(3), 1–10 (2015)

4. Amal Dev, P., Sobhana, N.V., Joseph, P.: GARM: a simple graph based algorithm for association rule mining. Int. J. Comput. Appl. 76(16), 1–4 (2013)

5. Yan, X., Han, J.: gSpan: graph-based substructure pattern mining. In: ICDM 2002, pp. 721–724 (2002)

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