Privacy Preserving Data Mining on Big Data Computing Platform: Trends and Future-Reference-Cited by-同舟云学术

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Privacy Preserving Data Mining on Big Data Computing Platform: Trends and Future

Published:2017-08-17 Issue: Volume: Page:491-502
ISSN:2367-4512
Container-title:Advances in Intelligent Networking and Collaborative Systems
language:
Short-container-title:

Author:

Zhiqiang Gao,Longjun Zhang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-65636-6_44

Reference34 articles.

1. Chasaki, D., Mansour, C.: Security challenges in the Internet of Things. Int. J. Space Based Situated Comput. 5, 141–149 (2015)

2. Beldad, A.: Sealing one’s online wall off from outsiders: determinants of the use of Facebook’s privacy settings among young Dutch users. Int. J. Technol. Hum. Interact. (IJTHI) 12, 21–34 (2016)

3. Barhamgi, M., Benslimane, D., Ghedira, C.: PPPDM–a privacy-preserving platform for data mashup. Int. J. Grid Util. Comput. 3, 175–187 (2012)

4. Li, X., He, Y., Niu, B.: An exact and efficient privacy-preserving spatiotemporal matching in mobile social networks. Int. J. Technol. Hum. Interact. (IJTHI) 12, 36–47 (2016)

5. Petrlic, R., Sekula, S., Sorge, C.: A privacy-friendly architecture for future cloud computing. Int. J. Grid Util. Comput. 4, 265–277 (2013)

Cited by 2 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. Privacy-Preserving Process Mining;Business & Information Systems Engineering;2019-08-15

2. Privacy of Big Data: A Review;Handbook of Big Data and IoT Security;2019

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