Analyzing the Relevancy of Policy by Abnormal Pattern Analysis : Focused on the Case of S-City's e-Card for Child Meal Support

이상 패턴 분석을 통한 정책의 적합성 분석 연구 : S 시의 아동 급식 전자 카드 사례를 중심으로

  • Received : 2018.01.15
  • Accepted : 2018.02.18
  • Published : 2018.03.31


E-Card Service for Child Nutrition Program is one of the main public policy services nowadays. In case of inconvenience during the use of the e-cards, it is recommended to cooperate with related organizations in order to promptly handle and provide guidance, and thoroughly manage child feeding service such as hygiene, nutrition and kindness etc. To do so, it is very important to provide food service that meets local actual conditions and children's needs in a cost effective manner for the underage who are worried about the poorly-fed by understanding the pattern of child feeding e-card service. Hence. this paper aims to investigate how child feeding e-card service efficiently provides meals according to the local situation and children's needs through big data analysis and to propose a method of identifying welfare conditions according to the purpose of service with actual application examples. The results suggest that, first of all, this study is able to judge appropriateness of public institution's policy in a timely and repetitive manner through non-standard data analysis such as Naver News and transaction data. Secondly, this paper proposes a multi-layered analysis framework, which performs online open data analysis to detect policy issues, visualizes retrieval and preprocessing of real data, and performs abnormal pattern recognition. These will be worthy of reference to other similar projects.


Child Nutrition Program;E-Card Service;Child Feeding;Online Unstructured Data;Topic Modeling;Pattern Analysis;Outlier Detection


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Supported by : 한국연구재단