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수입식품 빅데이터를 이용한 부적합식품 탐지 시스템에 관한 연구
Author
조상구, 최경현
Journal Title
한국빅데이터학회 학회지
Publication Year
2018
Topics
Summary
This study focuses on developing a system to predict the non-conformity of imported food, aiming to improve the efficiency of import safety control by utilizing big data and machine learning techniques. In particular, the Gaussian Naïve Bayes prediction model demonstrated the best performance in detecting non-conformity food, and it is expected that this will reduce the proportion of detailed inspections and improve the speed of import clearance in the future.
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