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An Accident Prediction in Military Barracks Using Data Mining

  • HyunSoon Shin
  • Kwan-Hee Yoo
  • Aziz NasridinovEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 393)

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.

Keywords

Data mining Military barracks Accident prediction 

Notes

Acknowledgments

This work was supported by the IT R&D program of MSIP. (Development of Military Life Management System based on Emotion Recognition.)

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceChungbuk National UniversityCheongjuSouth Korea
  2. 2.Things and Emotion Convergence Research TeamETRIDaejeonSouth Korea

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