Big Data Analytics Using Data Mining Techniques: A Survey-Reference-Cited by-同舟云学术

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Big Data Analytics Using Data Mining Techniques: A Survey

Published:2018-12-12 Issue: Volume: Page:264-273
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Mittal Shweta^ORCID,Sangwan Om Prakash

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-3140-4_24

Reference29 articles.

1. Evert, F., Fountas, S., Jakovetic, D., Cnnojevic, V., Travlos, I., Kempenaar, C.: Big data for weed control and crop protection. In: Big Data for Weed Control and Crop Protection. Weed Research (2017). https://doi.org/10.1111/wre.12255

2. Assuncao, M., Calheiros, R., Bianchi, S., Netto, M., Buyya, R.: Big data computing and clouds: trends and future directions. J. Parallel Distrib. Comput. 79–80, 3–15 (2015). https://doi.org/10.1016/j.jpdc.2014.08.003

3. https://www.youtube.com/watch?v=DLutRT6K2rM

4. Giacalone, M., Cusatelli, C., Santarcangelo, V.: Big data compliance for innovative clinical models. Big Data Res. 12, 35–40 (2018). https://doi.org/10.1016/j.bdr.2018.02.001

5. Dang, Z., Zhu, X., Cheng, D., Zong, M., Zhang, S.: Efficient KNN classification algorithm for big data. J. Neurocomput. 195, 143–148 (2016). https://doi.org/10.1016/j.neucom.2015.08.112

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