한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제25권8호
  • /
  • Pages.65-72
  • /
  • 2020
  • /
  • 1598-849X(pISSN)
  • /
  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
권호 표지
DOI QR코드

DOI QR Code

Developing a Big Data Analysis Platform for Small and Medium-Sized Enterprises

  • Kim, Hyeon Gyu (Div. of Computer Science and Engineering, Sahmyook University)
  • 투고 : 2020.07.03
  • 심사 : 2020.08.05
  • 발행 : 2020.08.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

금융, 통신 등의 응용 분야에서 빅데이터는 광범위하게 활용되고 있으며, 빅데이터 분석 시장은 해마다 크게 성장하고 있다. 이에 반해 소상공인들의 빅데이터 활용 실적은 저조하며, 이는 기존 시스템이 소상공인들의 여건을 충분히 반영하지 못하는 동시에 서비스 이용 가격 역시 높다는 점에 기인한다. 이를 해결하기 위한 노력의 일환으로, 본 논문에서는 소상공인에 특화된 빅데이터 분석 서비스를 제공하는 새로운 플랫폼을 개발, 제안한다. 먼저 소셜 빅데이터 분석과 관련한 기존 연구들을 비교하고, 소상공인의 마케팅을 돕기 위해 필요한 서비스 지표들을 추출한다. 다음으로 도출된 지표들을 구현한 프로토타입 시스템을 소개하고, 구현을 통해 얻어진 시스템 완성에 필요한 기술적인 이슈들을 논의한다.

Big data analysis is widely used in applications such as finance and communication, whose market size is growing rapidly every year. Nevertheless, it is rarely used by SMEs (small and medium-sized enterprises) since the existing services are not fully customized for them while being offered at high price. To resolve this, we develop and propose a new platform to provide big data analysis services specialized for SMEs in this paper. First, we compare existing work discussing social big data analysis, and extract service features necessary to help their marketing effectively. Then, we present a prototype system implementing the extracted features, and discuss technical issues needed to develop a complete system which are obtained from the prototype implementation.

키워드

참고문헌

  1. W. L. Kang, H. G. Kim, and Y, J. Lee, "Reducing IO Cost in OLAP Query Processing with MapReduce," IEICE Trans. Inf. & Syst, Vol. E98-D, No. 2, pp. 444-447, Feb. 2015. https://doi.org/10.1587/transinf.2014EDL8143
  2. K. H. Lee et al., "Parallel Data Processing with MapReduce: a Survey," ACM SIGMOD Record, Vol. 40, No. 4, pp. 11-20, 2012. https://doi.org/10.1145/2094114.2094118
  3. IDC Korea, https://www.idc.com/getdoc.jsp?containerId=prAP45938720
  4. MezzoMedia Tibuzz, http://tibuzz.co.kr/main/about
  5. Textom, http://www.textom.co.kr/home/main/main.php
  6. OnGoodPlace Inc., http://www.ongoodplace.com
  7. Small Business Promotion Agency, http://sg.sbiz.or.kr/
  8. Seoul Metro City, https://golmok.seoul.go.kr/main.do
  9. Y. S. Eu, "A study on the Relationship between the Commercial District Information System and Franchisees Management Performance," FoodService Industry Journal, Vol. 14, No. 1, pp. 95-101, Mar. 2019.
  10. M. H. Cho et al., "Customized Marketing Strategy Support Services for Small Business," Proceedings of the Spring Conference of Korean Institute of Industrial Engineers, pp. 2618-2621, 2016.
  11. S. H. Park, and H. C. Lee, "The Traditional Market Activation Factor Derivation Research Through Social Big Data," Seoul City Research, Vol. 19, No. 3, Sept. 2018.
  12. I. J. Yoo, B. G. Seo, and D. H. Park, "Smart Store in Smart City: The Development of Smart Trace Area Analysis System Based on Consumer Sentiments," Journal of Intelligent Information Systems, Vol. 24, No. 1, pp. 25-52, Mar. 2018.
  13. Konan Tech. Pulse-K, https://www.pulsek.com/
  14. Saltlux BlueBolt, http://www.saltlux.com/bigdata/bluebolt.do
  15. J. O. Song, J. H. Cho, and S. M. Lee, "Design and Implementation of Marketing System for Traditional Markets based on Big-Data," Proceedings of the Winter Conference of KSCI, pp. 191-192, Jan. 2018.
  16. KT Cloud Server, http://cloud.kt.com
  17. P. S. Jang, "Study on Principal Sentiment Analysis of Social Data," Journal of the Korea Society of Computer and Information, Vol. 19, No. 12, pp. 49-56, Dec. 2014. https://doi.org/10.9708/jksci.2014.19.12.049
  18. B. H. Baek, I. K. Ha, and B. C. Ahn, "An Extraction Method of Sentiment Infromation from Unstructed Big Data on SNS," Journal of Korea Multimedia Society, Vol. 17, No. 6, pp. 671-680, June 2014. https://doi.org/10.9717/kmms.2014.17.6.671
  19. Mary M. Flory, "How are You Feeling? Sentiment Analysis Aims to Find Out," AMA Access: Marketing Researchers, Apr. 2011.

피인용 문헌

  1. Design and Development of Big Data Platform based on IoT-based Children's Play Pattern Analysis vol.12, pp.4, 2020, https://doi.org/10.7236/ijibc.2020.12.4.218
  2. Social Big Data Analysis for Franchise Stores vol.26, pp.8, 2020, https://doi.org/10.9708/jksci.2021.26.08.039
  3. A Method for Compound Noun Extraction to Improve Accuracy of Keyword Analysis of Social Big Data vol.26, pp.8, 2020, https://doi.org/10.9708/jksci.2021.26.08.055