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贝叶斯网络分类模型在教育中的应用研究

Research on Bayesian Network Classification Models and its Application in Education
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摘要 贝叶斯网络(Bayesian Networks)是人工智能和数据挖掘领域中对不确定性问题进行推理和数据分析的一种工具。利用贝叶斯网络构建一个高职英语应用能力考试的预测模型,并利用真实数据做了分析验证。 Bayesian Networks are the useful tool for reasoning and data analysis on uncertainty problem in artificial intelligence and data mining.Based on Bayesian Networks,a predict model is established for representing the ability test of English in higher vocational college.At last,the validity is verified through the analysis of the numerical results.
作者 范生万
机构地区 安徽工商职业学院计算机与信息学院
出处 《安徽建筑工业学院学报（自然科学版）》 2008年第1期96-98,共3页 Journal of Anhui Institute of Architecture(Natural Science)
基金 安徽省自然科学基金项目(070412064)
关键词 贝叶斯网络 高职英语 分类器 Bayesian Networks Higher Vocational College English Classifier
分类号 F830.5 [经济管理—金融学]
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参考文献5

  • 1Heckeman D, Geiger D, Chickering D. Learning Bayesian Networks: the Combination of Knowledge and Statistical Data[J]. Machine Learing, 1995,20 (3) :197-243.
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  • 3慕春棣,tsinghua.edu.cn,戴剑彬,叶俊.用于数据挖掘的贝叶斯网络[J].软件学报,2000,11(5):660-666. 被引量：101
  • 4[加]Jiawei Han Micheline Kamber.范明,孟小峰等译.数据挖掘概念与技术(第二版)[M].北京:机械工业出版社,2001.
  • 5李旭升,郭耀煌.基于贝叶斯网络分类的个人信用评估模型[J].统计与决策,2006,22(20):13-15. 被引量：11

二级参考文献16

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  • 101999-03-15

共引文献108

安徽建筑工业学院学报（自然科学版）
2008年 第1期

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