Applications, Analytics, and Algorithms—3 A’s of Stream Data: A Complete Survey-Reference-Cited by-同舟云学术

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Applications, Analytics, and Algorithms—3 A’s of Stream Data: A Complete Survey

Published:2020-07-26 Issue: Volume: Page:599-606
ISSN:2194-5357
Container-title:Intelligence in Big Data Technologies—Beyond the Hype
language:
Short-container-title:

Author:

Amudha L.,Pushpalakshmi R.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5285-4_60

Reference10 articles.

1. S. Verma, Y. Kawamoto et al., A survey on network methodologies for real-time analytics of massive IoT data and open research issues. IEEE Commun. Surv. Tutor. 19(3, Third Quarter), 1457–1477 (2017)

2. O. Runsewe, N. Samaan, Cloud resource scaling for time-bounded and unbounded big data streaming applications. IEEE Trans. Cloud Comput. (2018)

3. C.C. Aggarwal, Data Streams: Models and Algorithms (IBM T. J. Watson Research Center, Hawthorne, NY, 2007)

4. S. Marshland, Machine Learning—An Algorithmic Perspective, Machine Learning and Pattern Recognition Series, 2nd edn. (2015)

5. P.P. Angelov, Autonomous Learning Systems: From Data Streams to Knowledge in Real-Time (Wiley, 2012)

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