Big Data Analytics for Water Resources Sustainability Evaluation-Reference-Cited by-同舟云学术

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Big Data Analytics for Water Resources Sustainability Evaluation

Published:2019 Issue: Volume: Page:29-38
ISSN:1865-0929
Container-title:High-Performance Computing Applications in Numerical Simulation and Edge Computing
language:
Short-container-title:

Author:

Zhao Yinghui,An Ru

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-32-9987-0_3

Reference25 articles.

1. Vitolo, C., Elkhatib, Y., Reusser, D., Macleod, C., Buytaert, W.: Web technologies for environmental Big Data. Environ. Model Softw. 63, 185–198 (2015)

2. Li, R., Li, H., Mak, C., Tang, T.: Sustainable smart home and home automation: big data analytics approach. Int. J. Smart Home 10(8), 177–187 (2016)

3. Jiang, C., et al.: Interdomain I/O optimization in virtualized sensor networks. Sensors 18, 4395 (2018)

4. Kambatla, K., Kollias, G., Kumar, V., Grama, A.: Trends in big data analytics. J. Parallel Distrib. Comput. 74(7), 2561–2573 (2014)

5. Hilbert, M.: Big data for development: a review of promises and challenges. Dev. Policy Rev. 34(1), 135–174 (2016)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big Data Architecture for Moroccan Water Stakeholders: Proposal and Perception;Lecture Notes in Electrical Engineering;2021-07-22

2. Advent of Big Data technology in environment and water management sector;Environmental Science and Pollution Research;2021-04-27

3. Big Data Analytic Architecture for Water Resources Management;Proceedings of the 4th Edition of International Conference on Geo-IT and Water Resources 2020, Geo-IT and Water Resources 2020;2020-03-11

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