Analysis of User’s Behaviors and Growth Factors of Shopping Mall using Bigdata

Dong Woo Kim; Tae Gu Kang; Guozhong Li   and Seong Taek Park

doi:10.17485/ijst/2015/v8i25/80979

Article

Analysis of User’s Behaviors and Growth Factors of Shopping Mall using Bigdata

VIEWS 884
PDF 466

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i25/80979

Year: 2015, Volume: 8, Issue: 25, Pages: 1-7

Original Article

Analysis of User’s Behaviors and Growth Factors of Shopping Mall using Bigdata

Dong Woo Kim¹ , Tae Gu Kang² , Guozhong Li ³ and Seong Taek Park^2*

¹The Korea Association of Software Manpower, Korea; [email protected]
²Department 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]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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