Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 25, Pages: 1-5
Dong Woo Kim1 , Tae Gu Kang2 , Guozhong Li3 and Seong Taek Park2*
1 The Korea Association of Software Manpower, Korea; [email protected]
2 Department of Management Information Systems, Chungbuk National University, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, Korea; [email protected], [email protected]
3 Department of Management Information Science and Information System, Kunming University of Science of Technology, Yunnan, Kunming, Wuhua, China; [email protected]
As recognition and value on big data has become significant, companies, public institutions, intelligence agencies have started to have interest on big data. Of course, there were analytic techniques based on data in past as well, but data was limited and analysis also limited. However nowadays, interest on structured data due to social media and unstructured data has started to increase that interest on big data analysis is rising. This paper systematically analyzes behavior of internet shopping mall users through big data analysis and proposes a strategic operation plan using this analysis.
Keywords: Association Rules, Big Data, Growth Factors, Shopping Mall, SOHO
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