연구실적

• 한국 프로배구 연맹의 경기 예측 및 영향요인 분석 응용통계연구, 2024, v.37 no.3, 323-338
  KCI dColl.
• 네이버 영화 리뷰 데이터를 이용한 의미 분석(semantic analysis) 응용통계연구, 2022, v.35 no.1, 19-33
  KCI dColl.
• Understanding recurrent neural network for texts using English-Korean corpora Communications for Statistical Applications and Methods, 2020 , 313-326
  Scopus KCI dColl.
• Introduction to convolutional neural network using Keras; An understanding from a statistician Communications for Statistical Applications and Methods, 2019, v.26 no.6, 591-610
  Scopus KCI dColl.
• 데이터마이닝 기법을 이용한 서울시 지하철역 승차인원 예측 응용통계연구, 2019, v.32 no.1, 111-128
  KCI dColl.
• 에어비앤비(Airbnb) 웹 로그 데이터를 이용한 고객 행동 예측 응용통계연구, 2019, v.32 no.3, 391~404
  KCI dColl.
• Feature selection for continuous aggregate response and its application to auto insurance data Expert Systems with Applications, 2018, v.93, 104-117
  SCIE Scopus dColl.
• Forecasting daily PM10 concentrations in Seoul using various data mining techniques Communications for Statistical Applications and Methods, 2018, v.25 no.2, 199-215
  Scopus KCI dColl.
• Comparisons on Clustering Methods: Use of LMS Log Variables on Academic Courses EDUCATIONAL TECHNOLOGY INTERNATIONAL, 2017, v.18 no.2, 159~191
  KCI dColl.
• Parameter and quantile estimation for the generalized Pareto distribution in peaks over threshold framework Journal of the Korean Statistical Society, 2017, v.46 no.4, 487-501
  SCIE Scopus KCI dColl.
• Robust gene selection methods using weighting schemes for microarray data analysis BMC BIOINFORMATICS, 2017, v.18
  SCIE Scopus dColl.
• 국내 예능 시청률과 회차 예측 및 영향요인 분석 응용통계연구, 2017, v.30 no.6, 809~825
  KCI dColl.
• 통계적 기법을 이용한 악성 소프트웨어 분류 응용통계연구, 2017, v.30 no.6, 851~865
  KCI dColl.
• 통계적 예측모형을 활용한 경륜 경기 순위 분석 응용통계연구, 2017, v.30 no.1, 25-39
  KCI dColl.
• Bias corrections for Random Forest in regression using residual rotation JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2015, v.44 no.2, 321-326
  SCIE KCI Scopus dColl.
• 국내 드라마 시청률 예측 및 영향요인 분석 응용통계연구, 2015, v.28 no.5, 933-949
  KCI dColl.
• 국내 배달음식 이용건수 분석 및 예측 응용통계연구, 2015, v.28 no.5, 977-990
  KCI dColl.
• 불균형 자료에 대한 분류분석 응용통계연구, 2015, v.28 no.3, 495-509
  KCI dColl.
• 서울 경마 경기 우승마 예측 모형 연구 응용통계연구, 2015, v.28 no.6, 1133-1146
  KCI dColl.
• Analysis of Online Behavior and Prediction of Learning Performance in Blended Learning Environments Educational Technology International, 2014, v.15 no.2, 71-88
  KCI dColl.
• 초,중,고 사교육비 영향요인 분석 응용통계연구, 2014, 제27권 7호, 1125-1137
  KCI dColl.
• [학술지논문] Recent deep learning methods for tabular data Communications for Statistical Applications and Methods, 2023, v.30 no.2 , 215-226
  Scopus
• [학술지논문] Is it possible to forecast KOSPI direction using deep learning methods? Communications for Statistical Applications and Methods, 2021, v.28 no.4 , 329-338
  Scopus
• [학술지논문] Understanding recurrent neural network for texts using English-Korean corpora Communications for Statistical Applications and Methods, 2020, v.27 no.3 , 313-326
  Scopus
• [학술지논문] Introduction to convolutional neural network using Keras; An understanding from a statistician Communications for Statistical Applications and Methods, 2019, v.26 no.6 , 591-610
  Scopus
• [학술지논문] 데이터마이닝 기법을 이용한 서울시 지하철역 승차인원 예측 응용통계연구, 2019, v.32 no.1 , 111-128
  KCI

학력