期刊文献+

样本大小对非平衡数据分类的影响

The impact of sample size to imbalanced data classification
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摘要 探讨了影响稀有类分类的各个因素,针对影响稀有类中的一个因素——样本大小对稀有类的影响进行了研究。 The paper discusses the factors that influence the modeling of a capable classifier in identifying rare events,especially for the factor of sample size.
出处 《微型机与应用》 2010年第19期1-3,6,共4页 Microcomputer & Its Applications
基金 国家自然科学基金(项目编号:60773048)
关键词 分类 稀有类 组合分类器 样本大小 classification rare class combined classifier sample size
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参考文献8

  • 1HanJ CamberM 数据挖掘 范明 孟小峰 译.概念与技术[M].北京:机械工业出版社,2001..
  • 2Yanmin, Mobamed S. Kamel, Andrew K. C. Wong, Costsensitive boosting for classification of imbalanced data. Patter Recognition, 2007(10):3358-3378.
  • 3VISA S,RALESCU A .Issues in mining imbalanced data sets-a review paper[C]. In Proceedings of the Sixteen Midwest Artificial Intelligence and Cognitive Science Conference, 2005:67-73.
  • 4WEISS G ,PROVOST F. Learning when training data are costly: the effect of class distribution on tree induction[C]. J. Aritif. Intell. Res, 2003(19):315-354.
  • 5Breiman. Bagging predictiors[M]. Machine Learning, 1996, 24:123-140.
  • 6KUNCHEVA L I,RODRIGUEZ J J, An experimental study on Rotation Forest ensembles [C]. In: MCS 2007, Lecture Notes in Computer Science, vol. 4472, Springer, Berlin, 2007:459-468.
  • 7RODRIGUEZ J J, KUNCHEVA L I, ALONSO C J. Rotation forest: a new classifier ensemble method [C]. IEEE Trans. Pattern Anal. Mach. Intell. 2006,28:1619-1630.
  • 8BLAKE C.MERZ C.UCI repository of machine learning databases, http://www.ics.uci.edu/-mlearn/MLRepository.html.1998.

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