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ID3算法在硕士研究生报名中的应用 被引量:2

The Application of Algorithm ID in the Entrance Examination for Candidates
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摘要  论述了ID3算法的基本思想和实现方法,分析了节点选择的方法,并将该算法应用于硕士研究生报考人员的资格审查,提高了工作效率,体现了ID3算法的优点. This paper discusses the basic idea and realization method of algorithm ID. Then it analyses the method to select a node. It can improve the work efficiency while applying the algorithm ID to the qualifying examination of the person who will take the master admission examination, which testifies the virtue of algorithm ID.
出处 《中原工学院学报》 CAS 2005年第3期37-39,共3页 Journal of Zhongyuan University of Technology
关键词 决策树 ID3算法 信息增益 decision tree algorithm ID information gain
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  • 1Quinlan J R.Induction of Decision Trees[J].Machine Learning,1986; (1):81~106.
  • 2Tom M Mitchell,MACHINE LEARNING,International Edition.
  • 3Han J, Kambr M. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, 2001:279-333
  • 4Ruggieri S. Efficient C4.5. IEEE Transactions on Knowledge and Data Engineering, 2002, 14(2):438-444
  • 5Breiman L, Friedman JH, Olshen RA, et al. Classification and Regression Trees. Chapman & Hall(Wadsworth, Inc.): New York, 1984
  • 6Mehta M, Agrawal R, Rissancn J. SLIQ: A Fast Scalable Classifier for Data Mining. Research Report, IBM Almaden Research Center, San Jose, California, 1995
  • 7Shafer J, Agrawal R, Mehta M. SPRINT: A Scalable Parallel Classifier for Data Mining. Research Report, IBM Almaden Research Center,San Jose, California, 1996
  • 8Rastogi R, Shim K. PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. Technical Report, Bell Laboratories, Murray Hill, 1998

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