Constrained Big Data Mining in an Edge Computing Environment-Reference-Cited by-同舟云学术

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Constrained Big Data Mining in an Edge Computing Environment

Published:2018-08-17 Issue: Volume: Page:61-68
ISSN:2194-5357
Container-title:Big Data Applications and Services 2017
language:
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Author:

Leung Carson K.^ORCID,Deng Deyu,Hoi Calvin S. H.,Lee Wookey

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0695-2_8

Reference32 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: VLDB 1994, pp. 487–499 (1994)

2. Bierzynski, K., Escobar, A., Eberl, M.: Cloud, fog and edge: cooperation for the future? In: FMEC 2017, pp. 62–67. IEEE (2017)

3. Braun, P., Cuzzocrea, A., Doan, L.M.V., Kim, S., Leung, C.K., Matundan, J.F.A., Singh, R.R.: Enhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern history. Procedia Computer Science 112, pp. 2230–2239. Elsevier (2017)

4. Braun, P., Cuzzocrea, A., Jiang, F., Leung, C.K., Pazdor, A.G.M.: MapReduce-based complex big data analytics over uncertain and imprecise social networks. In: DaWaK 2017. LNCS, vol. 10440, pp. 130–145 (2017)

5. Braun, P., Cuzzocrea, A., Keding, T.D., Leung, C.K., Pazdor, A.G.M., Sayson, D.: Game data mining: clustering and visualization of online game data in cyber-physical worlds. Procedia Computer Science 112, pp. 2259–2268. Elsevier (2017)

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