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Conference Paper
An Accident Prediction in Military Barracks Using Data Mining
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- Authors
- HyunSoon Shin, Kwan-Hee Yoo, Aziz Nasridinov
- Issue Date
- 2016-04
- Citation
- International Conference on Multimedia and Ubiquitous Engineering (MUE) 2016 (LNEE 393), v.393, pp.683-688
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- Abstract
- 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.
- KSP Keywords
- Accident prediction, Data mining(DM), Social media, South Korea, Text mining techniques, data mining techniques, known data, medical data