Weather Data Analytics Using Hadoop with Map-Reduce-Reference-Cited by-同舟云学术

Weather Data Analytics Using Hadoop with Map-Reduce

Published:2019-08-02 Issue: Volume: Page:189-196
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

More Priyanka Dinesh,Nandgave Sunita,Kadam Megha

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-8715-9_24

Reference17 articles.

1. Saranya S, Meyyappan T (2018) Proposing a new methodology for weather forecasting by using big data analytics. IEEE Int J Sci Technol 4(8):249–254

2. Jain H, Jain R (2017) Big data in weather forecasting: applications and challenges. In: International conference on big data analytics and computational Intelligence (ICBDACI)

3. Doreswamy, Gad I (2016) Big data techniques: Hadoop and Map-Reduce for weather forecasting. Int J Latest Trends Eng Technol 194–199 (Issue SACAIM 2016)

4. Chouksey P, Chauhan AB (2017) A review of weather data analytics using big data. Int J Adv Res Comput Commun Eng 6(1):130–152 (ISO 3297:2007 Certified)

5. Riyaz PA, Varghese SM (2015) Leveraging map reduce with Hadoop for weather data analytics. IOSR J Comput Engg (IOSR-JCE) 17(3):06–12, Ver. II

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 Analytics in Weather Forecasting: A Systematic Review;Archives of Computational Methods in Engineering;2021-06-28

2. A cloud computing-based approach using the visible near-infrared spectrum to classify greenhouse tomato plants under water stress;Computers and Electronics in Agriculture;2021-02

3. Big Data Technologies with Computational Model Computing Using Hadoop with Scheduling Challenges;Studies in Computational Intelligence;2021