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http://dx.doi.org/10.5392/JKCA.2022.22.07.010

Design and Implementation of a Food Price Information Analysis System Based on Public Big Data  

Lim, Jongtae (충북대학교 정보통신공학부)
Lee, Hyeonbyeong (충북대학교 정보통신공학부)
Bok, Kyoungsoo (원광대학교 인공지능융합학과)
Yoo, Jaesoo (충북대학교 정보통신공학부)
Publication Information
The Journal of the Korea Contents Association / v.22, no.7, 2022 , pp. 10-17 More about this Journal
Abstract
Recently, with the issue of the 4th Industrial Revolution, many services using big data have been developed. Accordingly, studies have been conducting to utilize public data, which is considered as the most valuable data among big data. In this paper, we design and implement a food price information analysis system based on public big data. The proposed system analyzes the collected food price-related data in various forms from various sources and classifies them according to characteristics. In addition, the proposed system analyzes the factors affecting the price of food through big data analysis techniques and uses them as data to predict the price of food in the near future. Finally, the proposed system provides the user with the analyzed results through data visualization.
Keywords
Public Bigdata; Bigdata Analysis; Trend Analysis; Correlation Analysis; Food Price Information;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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