FSMS: A Frequent Subgraph Mining Algorithm Using Mapping Sets-Reference-Cited by-同舟云学术

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FSMS: A Frequent Subgraph Mining Algorithm Using Mapping Sets

Published:2016 Issue: Volume: Page:761-773
ISSN:0302-9743
Container-title:Machine Learning and Data Mining in Pattern Recognition
language:
Short-container-title:

Author:

Abedijaberi Armita,Leopold Jennifer

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-41920-6_58

Reference19 articles.

1. Google. Inside Search: Algorithms [Online] Written (2012) (accessed: 04–30-2015)

2. Clement, A.: NSA surveillance: exploring the geographies of internet interception. In: iConference 2014 Proceedings, pp. 412–425 (2014). doi: 10.9776/14119

3. Rhodes, D.R., Yu, J., Shanker, K., Deshpande, N., Varambally, R., Ghosh, D., Barrette, T., Pander, A., Chinnaiyan, A.M.: ONCOMINE: A cancer microarray database and integrated datamining platform. Neoplasia 6(1), 1–6 (2004). ISSN: 1476-5586 (accessed 04-30-2015). http://dx.doi.org/10.1016/S1476-5586(04)80047-2

4. Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., Tomkins, A., Wiener, J.: Graph structure in the web. Computer Networks 33 (2000)

5. Bader, D.A., Madduri, K.: A graph-theoretic analysis of the human proteininteraction network using multicore parallel algorithms. Parallel Comput. (2008)

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1. Motif-Level Robustness Analysis of Power Grids;2018 IEEE International Conference on Data Mining Workshops (ICDMW);2018-11

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