Research Article
Abnormal Data Mining Method in Environmental Monitoring Data of Animal Husbandry Farm
@INPROCEEDINGS{10.4108/eai.27-8-2020.2294506, author={Xiao-hua XU and changxi chen}, title={Abnormal Data Mining Method in Environmental Monitoring Data of Animal Husbandry Farm}, proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2020}, month={11}, keywords={animal husbandry; environmental monitoring; abnormal data; mining;}, doi={10.4108/eai.27-8-2020.2294506} }- Xiao-hua XU
changxi chen
Year: 2020
Abnormal Data Mining Method in Environmental Monitoring Data of Animal Husbandry Farm
MOBIMEDIA
EAI
DOI: 10.4108/eai.27-8-2020.2294506
Abstract
in order to solve the problem of low accuracy of traditional anomaly data mining methods, this paper proposes an anomaly data mining method in the environmental monitoring data of livestock farms. Through collecting the environmental monitoring data of animal husbandry by sensors, after getting the environmental monitoring data, the environmental monitoring data is preprocessed, and the data after preprocessing is mined to complete the design of abnormal data mining method in the environmental monitoring data of animal husbandry. Compared with the traditional methods of outlier data mining, the experimental results show that the proposed outlier data mining method has higher mining accuracy.
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