Analyzing Highway Road Accident Characteristic Using Data Mining

被引：0
|
作者：
Ilham, Muhammad Yogi [1 ]
Suijandari, Isti [2 ]
Laoh, Enrico [2 ]
机构：
[1] Fac Engn Indonesia, Dept Ind Engn, Depok, Indonesia
[2] Univ Indonesia, Fac Engn, Dept Ind Engn, Depok, Indonesia
来源：
2020 5TH INTERNATIONAL WORKSHOP ON BIG DATA AND INFORMATION SECURITY (IWBIS 2020) | 2020年
关键词：
Clustering; Association Rule Mining; Road Accident; Highway;
D O I：
10.1109/iwbis50925.2020.9255655
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Road accident is an undesirable event that causes injuries and material damage. Recently in Indonesia, the increasing trend of road accidents has caused significant damage in fatalities and infrastructure. In order to reduce the number of road accidents, necessary information is required so decision-makers could take action. Data mining offers technique to analyze extensive data which is advantageous due to road accident heterogeneous nature. The clustering method is used to group data in order to reduce heterogeneity, and association rule mining method is used to find common characteristics of each clusters. There are thirteen clusters found. Each clusters are analyzed further using association method. The data used in this research is Highway accident in Cikopo-Palimanan Toll road 2017-2019.
引用
收藏
页码：19 / 23
页数：5
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