Review on Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 12, December 2016

Review on Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning

Varsha Govindrao Kulkarni, Dr. Kishor Wagh

Big Data Analytics and Deep Learning are two high-center of information science. Big Data has become important because of companies i.e. both public and private have been gathering huge measures of domain-specific data, which can contain helpful data about issues, for example, national intelligence, cyber security, fraud detection, marketing, and medical informatics. Deep Learning algorithms extract high-level, complex reflections as information representations through a progressive learning process. A advantage of Deep Learning is the study and learning of huge size of unsupervised information, making it a significant instrument for Big Data Analytics where crude information is to a great extent unlabeled and un-sorted. The present survey gives an idea of the previous work done by several researchers on the Big Data Analytics and Deep Learning applications.

Keywords: Deep learning, big data, Data Mining

Edition: Volume 5 Issue 12, December 2016

Pages: 1455 - 1457

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How to Cite this Article?

Varsha Govindrao Kulkarni, Dr. Kishor Wagh, "Review on Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163632, Volume 5 Issue 12, December 2016, 1455 - 1457

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