期刊文献+

数据挖掘技术在大学生专业方向指导中的应用 被引量:3

Application of data mining in undergraduates' major guidance
下载PDF
导出
摘要 以计算机专业本科学生成绩为样本,采用数据挖掘技术的决策树分类算法,建立了专业发展方向预测模型,得出了若干相关规则,通过验证样本数据对模型进行了验证,并提供了各种规则的准确度。 Based on the scores of students majoring in computer, by using classification algorithm, the predicting model of specialty directions is established,and some correlated rules are given. The model is verified by sample data and the precision of different roles is provided.
作者 郑晓艳
出处 《天津工程师范学院学报》 2006年第2期28-30,34,共4页 Journal of Tianji University of Technology and Education
关键词 数据挖掘技术 分类算法 专业方向指导 data mining classification algorithm major guidance
  • 相关文献

参考文献8

  • 1HAN J W, KAMBER M. Data Mining: Concepts and Techniques [ M]. USA: Morgan Kaufmann Publishers, 2001.
  • 2ROKACH L. Top-down induction of decision trees classifiers a survey [ J]. IEEE Transactions on Systems,2005,35:476-487.
  • 3韩慧,毛锋,王文渊.数据挖掘中决策树算法的最新进展[J].计算机应用研究,2004,21(12):5-8. 被引量:47
  • 4曲开社,成文丽,王俊红.ID3算法的一种改进算法[J].计算机工程与应用,2003,39(25):104-107. 被引量:79
  • 5QUINLAN J R. Induction of decision tree [ J ]. Machine Learning, 1986,1 (1):61-106.
  • 6QUINLAN J R. Simplifying decision trees [ J ]. Internet Journal of Man-Machine Studies, 1987, 27: 221-234.
  • 7DASU P. Mining database structure; or, how to build a data quality browser [ EB/OL]. [2005-06-21 ]. http://portal.acm.org/citation. cfm?
  • 8舒红平,游志胜,蒋建民.基于信息熵的决策属性分类挖掘算法及应用[J].计算机工程与应用,2004,40(1):186-189. 被引量:18

二级参考文献30

  • 1R·格罗恩.数据挖掘一构筑企业竞争优势[M].西安:西安交通大学出版社,2001..
  • 2Quinlan J R.Induction of decision tree[J].Machine Learning, 1986; (1): 81-106.
  • 3Quinlan J R.C4.5:Programs for Machine Learnint[M].Morgan Kaufmann,1992.
  • 4Quinlan J R.Discovering rules from large collections of examples:Acase study[C].In:Michie D,eds.Expert Systems in the Micro Electronic Age,Edinburgh University Press,1979.
  • 5Quinlan J R.Learning efficient classification procedures and their application to chess endgames[C].In:R S Michalski,J G Carbonell,T M Mitchell eds.Machine Learning:An Artificial Intelligence Approach, Tioga, 1983.
  • 6Quinlan J R.The effect of noise on concept learninl[C].In:R S Michalske,JG Carbonell,T M Mitchell eds.Machine Learning:An Artificial Intelligence Approach,Morgan Kaufmann,1986.
  • 7Quinlan J R.Simplifying Decision Trees[J].Intemet Journal of Man-Machine Studies, 1987;27:221-234.
  • 8Quinlan J R.Generating production rules from decision trees[C].In: Proceedings of IJCAI-87,Milan,Italy,1987.
  • 9Drucker H,Cortes C.Boosting decision tree[M].Neural Information Processing,MorganKaufmann,MIT Press, 1996.
  • 10Wu Xindong.Inductive Learning[J].Journal of Computer Sci & Tech, 1993 ;8(2) : 118-132.

共引文献141

同被引文献15

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部