Big data stream analysis: a systematic literature review

Author:

Kolajo TaiwoORCID,Daramola OlawandeORCID,Adebiyi AyodeleORCID

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference151 articles.

1. Mavragani A, Ochoa G, Tsagarakis KP. Assessing the methods, tools, and statistical procedures in Google trends research: systematic review. J Med Internet Res. 2018;20(11):e270.

2. Sun D, Zhang G, Zheng W, Li K. Key technologies for big data stream computing. In: Li K, Jiang H, Yang LT, Guzzocrea A, editors. Big data algorithms, analytics and applications. New York: Chapman and Hall/CRC; 2015. p. 193–214. ISBN 978-1-4822-4055-9.

3. Qian ZP, He Y, Su CZ et al. TimeStream: Reliable stream computation in the cloud. In: Proc. 8th ACM European conference in computer system, EuroSys 2013. Prague: ACM Press; 2013. p. 1–4.

4. Liu R, Li Q, Li F, Mei L, Lee, J. Big data architecture for IT incident management. In: Proceedings of IEEE international conference on service operations and logistics, and informatics (SOLI), Qingdao, China. 2014. p. 424–9.

5. Sakr S. An introduction to Infosphere streams: A platform for analysing big data in motion. IBM. 2013. https://www.ibm.com/developerworks/library/bd-streamsintro/index.html . Accessed 7 Oct 2018.

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