The schematic diagram of the iForest algorithm.

<div><p>Anomaly detection is widely used in cold chain logistics (CCL). But, because of the high cost and technical problem, the anomaly detection performance is poor, and the anomaly can not be detected in time, which affects the quality of goods. To solve these problems, the paper pres...

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Bibliographic Details
Main Author:	Zhibo Xie (6790775) (author)
Other Authors:	Heng Long (157361) (author), Chengyi Ling (20854893) (author), Yingjun Zhou (2350510) (author), Yan Luo (255674) (author)
Published:	2025
Subjects:	Biochemistry Developmental Biology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified cold chain logistics relation coefficient ρjk isolated forest algorithm div >< p anomaly detection scheme anomaly detection performance average f1 score anomaly detection performance indicators new scheme improved algorithm f1 </ correlation coefficient three types technical problem slightly longer sliding window recall ), r </ precision ), paper presents p </ mathematical model lof ), iforest ). high cost data stream data increases data flow cross factor collected data abnormal events
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The schematic diagram of the iForest algorithm.

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