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http://dx.doi.org/10.15683/kosdi.2021.12.31.817

A Study of the Standard Structure for the Social Disaster and Safety Incidents Data  

Lee, Chang Yeol (Department of Computer Engineering, Dongeui University)
Kim, Taehwan (Department of Security Service, Yongin University)
Publication Information
Journal of the Society of Disaster Information / v.17, no.4, 2021 , pp. 817-828 More about this Journal
Abstract
Purpose: In this paper, we propose a common dataset structure which includes the incidents investigation information and features data for machine learning. Most of the data is from the incidents reports of the governmental part and restricts on the social disaster and safety areas. Method: Firstly, we extract basic incidents data from the several incident investigation reports. The data includes the cause, damage, date, classification of the incidents and additionally considers the feature data for the machine learning. All data is represented by XML standard notation. Result: We defined the standard XML schema and the example for the incidents investigation information. Conclusion: We defined the common incidents dataset structure for the machine learning. It may play roles of the common infrastructure for the disaster and safety applications areas
Keywords
Social Disaster; Incident Investigation; Machine Learning; Risk Prediction; Incident Data;
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