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題名:應用機器學習分類演算法於二元不平衡資料之預測
書刊名:統計與資訊評論
作者:傅國瑋許玉雪
作者(外文):Fu, Guo-weiHsu, Esher
出版日期:2020
卷期:20
頁次:頁69-92
主題關鍵詞:不平衡資料集成學習分類演算法類別不平衡問題Imbalanced dataEnsemble learningClassification algorithmSMOTEClass imbalanced problem
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:5
期刊論文
1.Longadge, R.、Dongre, S. S.、Malik, L. G.(2013)。Class Imbalance Problem in Data Mining: Review。International Journal of Computer Science and Network,2(1),83-87。  new window
2.Ho, Tin Kam(1998)。The Random Subspace Method for Constructing Decision Forests。IEEE Transactions on Pattern Analysis and Machine Intelligence,20(8),832-844。  new window
3.Chawla, N. V.、Bowyer, K. W.、Hall, L. O.、Kegelmeyer, W. P.(2002)。SMOTE: Synthetic Minority Over-sampling Technique。Journal of Artificial Intelligence Research,16,321-357。  new window
4.Galar, M.、Fernandez, A.、Barrenechea, E.、Bustince, H.、Herrera, F.(2011)。A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches。IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews),42(4),463-484。  new window
5.Breiman, Leo(1996)。Bagging predictors。Machine Learning,24(2),123-140。  new window
6.Breiman, Leo(2001)。Random Forests。Machine Learning,45(1),5-32。  new window
7.Dongre, S. S.、Malik, L. G.(2017)。Rare class problem in data mining: review。International Journal of Advanced Research in Computer Science,8(7),1102-1105。  new window
8.Hanifah, F. S.、Wijayanto, H.、Kurnia, A.(2015)。SMOTE Bagging Algorithm for Imbalanced Dataset in Logistic Regression Analysis。Applied Mathematical Sciences,9(138),6857-6865。  new window
9.Nguyen, H. M.、Cooper, E. W.、Katnei, K.(2009)。Borderline over-sampling for imbalanced data classification。International Journal of Knowledge Engineering and Soft Data Paradigms,3(1),4-21。  new window
會議論文
1.Chen, T. C.、Guestrin, C.(2016)。Xgboost: A scalable tree boosting system。The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,(會議日期: 13-17 August, 2016)。ACM。785-794。  new window
2.Jin, R.、Hauptmann, A.(2003)。On predicting rare classes with SVM Ensemble in scene classification。IEEE International conference on Acoustics, speech and signal processing,21-24。  new window
3.Pavlov, D.、Gorodilov, A.、Brunk, C.(2010)。BagBoo: A Scalable Hybrid Bagging-the-Boosting Model。19th ACM International Conference on Information and Knowledge Management。  new window
研究報告
1.Breiman, L.(1997)。Arcing the edge。Statistics Department, University of California。  new window
圖書
1.Breiman, Leo、Friedman, Jerome H.、Stone, Charles J.、Olshen, R. A.(1984)。Classification and Regression Trees。Chapman and Hall。  new window
單篇論文
1.Dewancker, I.,McCourt, M.,Clark, S.(2018)。Bayesian optimization primer,SIGOPT。  new window
圖書論文
1.Han, Hui、Wang, Wen-Yuan、Mao, Bing-Huan(2005)。Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning。Advances in intelligent computing。  new window
 
 
 
 
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