An Accident Prediction in Military Barracks Using Data Mining

被引：0

作者：

Shin, HyunSoon ^{[2
]}

Yoo, Kwan-Hee ^{[1
]}

Nasridinov, Aziz ^{[1
]}

机构：

[1] Chungbuk Natl Univ, Dept Comp Sci, Cheongju, South Korea

[2] ETRI, Things & Emot Convergence Res Team, Daejeon, South Korea

来源：

ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING: FUTURETECH & MUE | 2016年 / 393卷

关键词：

Data mining; Military barracks; Accident prediction;

D O I：

10.1007/978-981-10-1536-6_89

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Recently, several accidents have occurred in South Korean military barracks that caused a social concern. In this paper, we argue that these accidents can be prevented. Specifically, we describe an ongoing project that applies well-known data mining techniques to predict accidents in military barracks in South Korea. For this, we first collect various soldiers' data, such as social media, personal history and medical data, and then, use ranking, clustering, classification and text mining techniques to analyze this data.

引用

页码：683 / 688

页数：6

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