반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

머신러닝을 이용한 세금 계정과목 분류

Taxation Analysis Using Machine Learning

  • 최동빈 (단국대학교 컴퓨터학과) ;
  • 조인수 (단국대학교 소프트웨어학과) ;
  • 박용범 (단국대학교 소프트웨어학과)
  • 투고 : 2019.06.17
  • 심사 : 2019.06.24
  • 발행 : 2019.06.30
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초록

Data mining techniques can also be used to increase the efficiency of production in the tax sector, which requires professional skills. As tax-related computerization was carried out, large amounts of data were accumulated, creating a good environment for data mining. In this paper, we have developed a system that can help tax accountant who have existing professional abilities by using data mining techniques on accumulated tax related data. The data mining technique used is random forest and improved by using f1-score. Using the implemented system, data accumulated over two years was learned, showing high accuracy at prediction.

키워드

참고문헌

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