Association Analysis of Food Risk Factors Based on Improved FP-growth Algorithm

Association Analysis of Food Risk Factors Based on Improved FP-growth Algorithm

In order to solve the problems of strong subjectivity and low targeting in sampling decision-making that exist in food safety surveillance sampling, this study proposed a correlation analysis method based on an improved Frequent Pattern-growth (FP-growth) algorithm for food risk factors. First, the...

Full description

Saved in:
Bibliographic Details
Main Author: YU Jiabin, MA Xinyue, ZHAO Zhiyao, WANG Xiaoyi, ZHANG Xin, CUI Xiaoyu, BAI Yuting, CHEN Shuaixiang
Format: Article
Language:English
Published: China Food Publishing Company 2024-12-01
Series:Shipin Kexue
Subjects:
food safety surveillance sampling; association analysis; entropy weight method; minibatchkmeans clustering; frequent pattern-growth algorithm
Online Access:https://www.spkx.net.cn/fileup/1002-6630/PDF/2024-45-23-028.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items