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http://dx.doi.org/10.6109/jkiice.2015.19.6.1341

Big-Data Integration in Public Institutions for Supporting Start-up Businesses  

Shin, Seong-Yoon (School of Computer & Information Communication Engineering, Kunsan National University)
Kim, Do-Goan (Division of Information and Electronic Commerce, Wonkwang University(Institute of Convergence and Creativity))
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.6, 2015 , pp. 1341-1346 More about this Journal
Abstract
Nowadays, many small businesses have experienced the failure of business or hardship. In this point, specific and integrated information for startup business should be required to decrease the rate of failure and to increase the rate of success. This study is to suggest the integration of various data which various public institutions have separately. For this purpose, it is to classify the data types in constructing big-data for start-up business and to suggest a way of data integration, analysis method, and web or services of information system for supporting startup businesses.
Keywords
Big-Data; Start-up; Public Data; Analysis; Integration;
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  • Reference
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