Deep Neural Network: Recognize Data Management of Artificial Intelligence in Retail
D. Prabha1, P. Manivannan2, K. Balasubramanian3

1D. Prabha, Associate Professor of Computer Science Engineering, Sri Krishna College of Engineering and Technology, Coimbatore 641014, India.
2P. Manivannan Assistant Professor of Computer Science Engineering, Park College of Technology, Coimbatore 641659, India.
3K. Balasubramanian Associate Professor of Mechanical Engineering, Park College of Technology, Coimbatore 641659, India.

Manuscript received on 14 August 2019 | Revised Manuscript received on 20 August 2019 | Manuscript published on 30 August 2019 | PP: 3594-3596 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97790881019/19©BEIESP | DOI: 10.35940/ijitee.J9779.0881019
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Abstract: Deep neural networks with the artificial intelligence on Machine Learning (ML) algorithms constitute the best design specifically to deal with vast amount of data for retail business. The limited research approach is referred towards reducing memory consumption on integrating ML algorithms on data management system. This paper proposed combining data management and deep neural networks, ideas to build systems, which vast amount data can share in the database system. Therefore, ML algorithm has a pattern with multi-hidden layer that can use to synthesis different decision within a minimum processing. Finally, system precede and follow a NoSQL layers of a model employs in-memory database compression techniques and executes data management challenges with large datasets successfully.
Index Terms: Artificial Intelligence, Data Management System, Deep Neural Networks, Machine Learning

Scope of the Article: Data Management