An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities

Year 2017, , 24 - 28, 24.09.2017

Yunus Santur , Ebru Karaköse Mehmet Karaköse Erhan Akın

https://doi.org/10.18100/ijamec.2017SpecialIssue30466

Cited By: 4

Abstract

Nowadays, deep learning is commonly used in many areas such as natural language processing, data mining, image processing and interpretation. The use of technology in city management for the purposes of effective resource management, improving the quality of service and reducing costs have led to smart city concept. The data produced by automation systems as well as internet-connected objects such as sensor, camera and mobile device are also used for smart city management. It is difficult to analyze such a big sized data by processing with conventional methods and to use them in decision-making mechanisms. In this study, deep learning based data mining was performed on big data obtained from different types of sources for smart city management and an approach to ensure that the results can be analyzed was proposed.

Keywords

Big Data, Cloud Computing, Deep Learning, Deep Mining, IoT, Smart City

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