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Improved Distributed Frameworks to Incorporate Big Data through Deep Learning


Dr.N. Krishnaraj and Dr. Kiranmai Bellam
Abstract

Development of an IT industry that incorporates the Big Data Architectures (BDA) and Deep Learning Frameworks (DLF) to assist quick experimentation. A structural design that supports Big Data (BD) group and helps organizational DLF. The proposed language used to construct a data view that changes over the different BD streams into a perspective that can be utilized by a DLF. Our proposed model contributes to the ability to incorporate different BD streams with DLF. In our proposed methodology, we have represented a model to show the practicability and efficiency of our proposed method.

Volume 12 | 03-Special Issue

Pages: 332-338

DOI: 10.5373/JARDCS/V12SP3/20201269