Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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Application of Decision Tree Algorithm for Automating Public Survey Performance Review

공공측량 성과심사 자동화를 위한 결정트리 알고리즘의 적용

  • Mi-Jin Hyeon (Dept. of college General Education, Kyungnam University) ;
  • Cheol Jin (Dept. of Department of Civil Engineering, Kyungnam University) ;
  • Myung-Jin Park (Spatial Information Quality Management Service) ;
  • Hyun Choi (Dept. of Department of Civil Engineering, Kyungnam University)
  • 현미진 (경남대학교 교양융합대학) ;
  • 진철 (경남대학교 사회기반시스템공학과) ;
  • 박명진 (공간정보품질관리원 품질연구실) ;
  • 최현 (경남대학교 재난안전건설학과)
  • Received : 2023.12.21
  • Accepted : 2024.02.15
  • Published : 2024.04.30
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Abstract

The current public survey performance review extracts samples according to the set screening ratio, and examines the extracted samples to determine the suitability or inadequacy of the survey performance. The examiner directly judges the survey performance submitted by the performer, and extracts it in consideration of various field conditions and topography for each subject. However, it is necessary to secure fairness in the examination as it is extracted with different extraction methods for each subject and the judgment of the examiner. Accordingly, in order to automate sampling for public survey performance review, the detailed sampling criteria of the reviewer were investigated to prepare a volume calculation table, and the automation of sampling using Python was studied. In addition, by reviewing items that can and cannot be automated, the application of the automated decision tree algorithm of sampling was reviewed.

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References

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