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Ewha University

The Graduate School

Jongwoo Song Professor

Department of Statistics/Department of Data Science

송종우 프로필 사진

				
Research Record
  • 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.
  • 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] A study on the number of passengers using the subway stations in Seoul 응용통계연구, 2019, v.32 no.1 , 111-128
    KCI
Courses
  • 2024-1st

    • Statistical Methods for Big Data Analysis

      • Subject No 38756Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 6~6 (POSCO363) , Thu 4~4 (POSCO363)
    • Data Mining

      • Subject No G11814Class No 01
      • Year ( 3Credit , 3Hour) Mon 4~5 (D106)
  • 2023-2nd

    • Data Mining

      • Subject No 35304Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 5~5 (SCI-) , Thu 6~6 (207)
    • Topics in Statistical Computing Ⅰ

      • Subject No G11913Class No 01
      • Year ( 3Credit , 3Hour) Mon 4~5 (D109)
  • 2023-1st

  • 2022-2nd

    • Data Mining

      • Subject No 35304Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 5~5 (SCI-) , Thu 6~6 (207)
    • Topics in Statistical Computing Ⅰ

      • Subject No G11913Class No 01
      • Year ( 3Credit , 3Hour) Mon 4~5 (D106)
  • 2022-1st

    • Statistical Methods for Big Data Analysis

      • Subject No 38756Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 6~6 (SCI-AA) , Thu 4~4 (101)
    • Data Mining

      • Subject No G11814Class No 01
      • Year ( 3Credit , 3Hour) Wed 4~5 (-)
  • 2021-2nd

    • Data Mining

      • Subject No 35304Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 5~5 , Thu 6~6
    • Topics in Statistical Computing Ⅰ

      • Subject No G11913Class No 01
      • Year ( 3Credit , 3Hour) Mon 4~5 (D106)
Academic Background

University of Chicago Ph.D.(통계학)