Spatial Analysis Using R based Deep Learning

Recently classified or clustering things and data (Classification) to a kind of technology of methodological deep learning has been attracting attention. Core of deep learning are derived algorithm as a means to exceed the limits of the artificial neural network is a predicted through classification. And analyze large amounts of data, a computer that can distinguish things people who derived the pattern is a technology that can identify the object. Therefore, the In this paper, on the basis of deep learning algorithm by using the data analysis tool R, it attempts to design a process to be visualized combined with spatial information data. Spatial data gathered by the process, scraping data, via the data processing concentrates to identify the intended user. And country of map data, collect data through a Web scraping, analyzing MNIST data using H2O, which is provided with an open source package for R programs. Based Received (January 22, 2016), Review Result (February 5, 2016) Accepted (February 16, 2016), Published (April 30, 2016) 156-743 Graduate School of Software, Soongsil University, Seoul, Korea email: sejung90@naver.com 156-743 Dept. of IT Policy and Mgmt., Graduate School of Soongsil Univ., Seoul, Koreaa email: csm0107@gmail.com 156-743 Dept. of IT Policy and Mgmt., Graduate School of Soongsil Univ., Seoul, Koreaa email: hj1253@urpsys.com (Corresponding Author) 156-743, Graduate School of Software, Soongsil University, Seoul Korea email: kjb123@ssu.ac.kr Spatial analysis using R based Deep Learning Copyright c 2016 HSST 2 on the final algorithm, and presents the expected effect of the paper.