다중공선성과 불균형분포를 가지는 공정데이터의 분류 성능 향상에 관한 연구

논문상세정보
' 다중공선성과 불균형분포를 가지는 공정데이터의 분류 성능 향상에 관한 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 공학, 공업일반
  • imbalanceddata
  • multi collinearity
  • multiple hypothesis testing
  • plasma display panel
  • weighted decision tree
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
5,621 2

0.0%

' 다중공선성과 불균형분포를 가지는 공정데이터의 분류 성능 향상에 관한 연구' 의 참고문헌

  • 데이터 정제와 그래프 분석을 이용한 대용량 공정데이터 분석 방법
    박재홍 품질경영학회지 30 (2) : 6 ~ 85 [2002]
  • 고차원자료에서의 다중검정의 활용
    장원철 한국데이터정보과학회지 24 (5) : 1063 ~ 1076 [2013]
  • 계급불균형자료의 분류: 훈련표본 구성방법에 따른 효과
    김지현 응용통계연구 17 (3) : 445 ~ 457 [2004]
  • The effect of class distribution on classifier learning : an empirical study
  • Taking class importance into account, In Hybrid Information Technology
    Polo, J. L. ICHITʼ 06. International Conference on 1 : 1 ~ 6 [2006]
  • Statistical Data mining using SAS applications
    Fernandez, G. CRC press [2010]
  • Statistical Analysis with Missing Data
    Little, R. J. John Wiley and Sons [2002]
  • Semiconductor yield improvement : results and best practices
    Cunningham, Sean P. Semiconductor Manufacturing IEEE Transactions 8 (2) : 103 ~ 109 [1995]
  • Preanalysis of Superlarge Industrial Datasets
    Banks, D. L. Duke University [1991]
  • Plasma display panels : physics, recent developments and key issues
    Boeuf, J. P. Journal of physics D : Applied physics 36 (6) : R53 ~ [2003]
  • Nonparametric statistics : An introduction Vol. 90
    Gibbons, J. D. Sage [1993]
  • Multiple hypothesis testing in microarray experiments
    Dudoit, S. Statistical Science 18 (1) : 71 ~ 103 [2003]
  • Multiple Comparison Procedures
    Hochberg, Y. Wiley [1987]
  • Learning when negative examples abound
    Holte, R. Kubat, M. Matwin, S. Proceedings of the 9th European Conference on Machine Learning ECML-97 : 146 ~ 153 [1997]
  • Irrelevant features and the subset selection Problem
    John, G. H. ICML 94 : 121 ~ 129 [1994]
  • Feature selection for clustering high dimensional data
    Zeng, H Lecture Notes in Artificial Intelligence 5351 : 913 ~ 922 [2008]
  • Experimental perspectives on learning from imbalanced data
    Khoshgoftaar, T. M. Napolitano, A. Van Hulse, J. Proceedings of the 24th international conference on Machine learning : 935 ~ 942 [2007]
  • Defect Type Prediction Method in Manufacturing Process Using Data Mining Technique
    Byeon, S. K. Journal of industrial and systems engineering 27 (2) : 10 ~ 16 [2004]
  • Data preparation for data mining
    Pyle, D. Morgan Kaufmann [1999]
  • Data Mining for Business Intelligence : Concepts, Techniques, and Applications in Microsoft Office Excel With XLMiner
    Shmueli, G. Wiley [2010]
  • Correlation-based feature selection for machine learning
    HALL, Mark A. The University of Waikato [1999]
  • Convergence problems in logistic regression, Numerical issues in statistical computing for the social scientist : 238 ~ 252
    Allison, P. [2004]
  • Controlling the false discovery rate : A practical and powerful approach to multiple testing
    Benjamini, Y Journal of the Royal Statistical Society : Series B(Methodological) 57 : 289 ~ 300 [1995]
  • Conditional variable importance for random forests
    Strobl, C. BMC bioinformatics 9 (1) : 307 ~ [2008]
  • Combined application of data imbalance reduction techniques using genetic algorithm
    Jang, Y. S. Journal of Intelligence and Information Systems 14 (3) : 133 ~ 154 [2008]
  • Classification and regression trees
    Breiman, L Wadsworth [1984]
  • Classification and regression tree analysis in public health : methodological review and comparison with logistic regression
    Lemon, S. C. Annals of Behavioral Medicine 26 (3) : 172 ~ 181 [2003]
  • Class-imbalanced classifiers for high-dimensional data
    Lin, W. J. Briefings in bioinformatics 14 (1) : 13 ~ 26 [2012]
  • A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion
    Farcomeni, A. Statistical Methods in Medical Research 17 (4) : 347 ~ 388 [2008]
  • A review of data mining applications for quality improvement in manufacturing industry
    Köksal, G. Expert Systems with Applications 38 (10) : 13448 ~ 13467 [2011]
  • A direct approach to false discovery rates
    Storey, J. D. Journal of the Royal Statistical Society : Series B (Statistical Methodology) 64 (3) [2002]