@article{ref1,
title="Association rules mining of water traffic accidents causation under value attenuation",
journal="China safety science journal (CSSJ)",
year="2022",
author="Yang, L. and Liu, J. and Liu, Z. and Liu, Y.",
volume="32",
number="10",
pages="127-134",
abstract="In order to improve the traffic safety level of China ' s coastal waters, an Apriori algorithm based on time weight was proposed on the basis of considering the value attenuation of water traffic accidents. Taking the data of water traffic accidents in China ' s coastal waters from 2015 to 2020 as samples, the characteristics of water traffic accidents in China ' s coastal waters were analyzed, and the potential mapping relationship between accident attributes and causal attributes were explored, to form 13 strong association rules. The results show that the mining value of traffic accident has the characteristics of decaying with time. The coastal waters of China have the characteristics of high incidence of water traffic accidents in fixed seasons, fixed periods, specific vessels and special waters. There is a ctetain mapping relationship between the basic attributes of accidents and the causal attributes. Some causal attributes often appear at the same time under the specific basic attributes of accidents. © 2022 China Safety Science Journal. All rights reserved.<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2022.10.2087",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2022.10.2087"
}