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

Varsha Govindrao Kulkarni, Dr. Kishor Wagh

Abstract: 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

How to Cite?: Varsha Govindrao Kulkarni, Dr. Kishor Wagh, "Review on Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning", Volume 5 Issue 12, December 2016, International Journal of Science and Research (IJSR), Pages: 1455-1457, https://www.ijsr.net/getabstract.php?paperid=ART20163632, DOI: https://dx.doi.org/10.21275/ART20163632