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Exploratory Study on Child Abuse Reduction Plan through the Big Data Convergence Analysis

빅데이터 융합분석을 통한 아동학대 감소방안에 관한 탐색적 연구

  • Received : 2016.09.01
  • Accepted : 2016.10.20
  • Published : 2016.10.28

Abstract

Recently the problem of child abuses has become a big social issue. According to national statistics data portal, the population under 19 years old is shrinking trend, but the number of child abuse is increasing day ever. However, the number of counseling after calling is a constant level without large fluctuations. Due to the seriousness of the problems, child abuse is even worse despite the research and countermeasures. This study designed a study model on the child abuse based on a preliminary study and suggested plans for reducing child abuse through the big data analytics. When we see a result of test of the hypothesis, abuse actor characteristics, characteristics of children, and employment type were analyzed to have a significant impact on child abuse. Based on such analysis, this research has suggested ways to reduce child abuse, including educational and economic support measures.

Keywords

Big Data;Child Abuse;Performer Characteristics;Characteristics of Children Suffered Damage;Employee Type;Satisfaction among Family Members

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