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http://dx.doi.org/10.14400/JDC.2016.14.9.317

A Study on Possible Construction of Big Data Analysis System Applied to the Offline Market  

Lee, Hoo-Young (Dept. of Multimedia, Kongju National University)
Park, Koo-Rack (Dept. of Computer Science & Engineering, Kongju National University)
Kim, Dong-Hyun (Dept. of IT Convergence, Woosong University)
Publication Information
Journal of Digital Convergence / v.14, no.9, 2016 , pp. 317-323 More about this Journal
Abstract
Big Data is now seen as a major asset in the company's competitiveness, its influence in the future is expected to grow. Companies that recognize the importance are already actively engaged with Big Data in product development and marketing, which are increasingly applied across sectors of society, including politics, sports. However, lack of knowledge of the system implementation and high costs are still a big obstacles to the introduction of Big Data and systems. It is an objective in this study to build a Big Data system, which is based on open source Hadoop and Hive among Big Data systems, utilizing POS sales data of small and medium-sized offline markets. This approach of convergence is expected to improve existing sales systems that have been simply focusing on profit and loss analysis. It will also be able to use it as the basis for the decisions of the executive to enable prediction of the consumption patterns of customer preference and demand in advance.
Keywords
Big Data; Hadoop; Hive; MapReduce; POS; Offline Market; Convergence;
Citations & Related Records
Times Cited By KSCI : 13  (Citation Analysis)
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1 B. C. Kim, "A study on Utilization of Big Data Based on the Personal Information Protection Act", Journal of Digital Convergence, Vol. 13, No. 12, pp. 87-92, 2014.
2 K. C. Choi, J. A. Yoo, "A reviews on the social network analysis using R", Journal of the Korea Convergence Society, Vol. 6, No. 1, pp. 77-83, 2015.   DOI
3 G. S. Hang, "Big Data Platform Strategy: Big Data is Changing Business Platform Future Revolution", Electronic Times, pp. 83-97, 101-105, 193-203, 2013.
4 http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html
5 J. H. Kwak, et al., "Large-scale Data Analysis based on Hadoop for Astroinformatics", Journal of KIISE, Vol. 17, No. 11, pp. 587-591, 2011.
6 http://hci.stanford.edu/courses/cs448g/a2/files/map_reduce_tutorial.pdf
7 Venner, Jason, "Pro Hadoop", Apress, 2009.
8 Y. H. Lee, Y. S. Lee, "Yet Another BGP Archive Forensic Analysis Tool Using Hadoop and Hive", Journal of KIISE, Vol. 42, No. 4, pp. 541-549, 2015.   DOI
9 Apache Hive: https://cwiki.apache.org/confluence/display/hive/Design
10 Q. Y. Hao, S. J. Lee, K. R. Lee, "The Acceptance of Customer Reviews in Taobao", Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 205-212, 2015.   DOI
11 S. H. Park, I. H. Lee, H. Y. Ahn, "Analysis of the Retail Channels Resulting from Changing Consumption Trends", Hana Institute of Finance, No. 13, 2009.
12 K. C. Ahn, et al,, "POS Data Analysis System based on Association Rule Analysis", Journal of the Korea Industrial Information System Society , Vol. 17, No. 5, pp. 9-17, 2012.
13 G. D. Seo, J. E. Lee, "A study on the Effect of Consumer Lifestyle on Brand Attitude, Brand Attachment influence upon Brand Loyalty", Journal of Digital Convergence, Vol. 14, No. 4, pp. 185-192, 2016.
14 K. W. Ko, D. C. Kim, "The Analyses of the Operational Efficiency and Efficiency Factors of Retail Stores Using DEA Model," Korean Management Science Review, Vol. 31, No. 4, pp. 135-150, 2014.   DOI
15 K. C. Ahn, et al.,"POS Data Analysis System based on Association Rule Analysis", Korea Society of Industrial Information Systems, Vol. 17, No. 5, pp. 9-17, 2012.
16 James Dyson, "Paperless Receipt Solution (PRS) System", James Dyson Foundation, 2015.
17 O. B. Kwon, H. C. Shin, "Mobile Point-of-Sales System", Journal of Information and Security, Vol 7, No. 3, pp. 87-93, 2007.
18 Y. S. Jeong, Y. T. Kim, G. C. Park,, "Subnet Selection Scheme based on probability to enhance process speed of Big Data", Journal of Digital Convergence, Vol. 13, No. 9. pp. 201-208, 2015.
19 S. H. Namn, K. S. Noh, "A Study on the Effective Approaches to Big Data Planning", Journal of Digital Convergence, Vol. 13, No. 1, pp. 227, 235, 2015.
20 K. S. Noh, S. T. Park, K. H. Park, "Convergence Study on Big Data Competency Reference Model", Journal of Digital Convergence, Vol. 13, No. 3, pp. 55-63, 2015.   DOI