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利用XML的一种因果模式Web挖掘模型
引用本文:李孝忠,赵国桦. 利用XML的一种因果模式Web挖掘模型[J]. 天津轻工业学院学报, 2010, 0(2): 65-67
作者姓名:李孝忠  赵国桦
作者单位:天津科技大学计算机科学与信息工程学院,天津300222
基金项目:国家自然科学基金资助项目(70571056)
摘    要:定义了一种因果关系模式,包括因集、果集和各种因果关系,以及影响度、分类权值等参数.再结合统计分析等各种数据挖掘算法和XML的优势组成了一种Web挖掘模型,该模型可用来发现Wleb上事物之间的内在联系以及发生规律,以便为任务的执行提供有力的预测和决策依据.应用实例表明,该模型是有效的,能够在预测和决策中发挥作用.

关 键 词:Web挖掘  因果模式  因集  果集  影响度

A Causal Pattern Web Mining Model Based on XML
LI Xiao-zhong,ZHAO Guo-hua. A Causal Pattern Web Mining Model Based on XML[J]. Journal of Tianjin University of Light Industry, 2010, 0(2): 65-67
Authors:LI Xiao-zhong  ZHAO Guo-hua
Affiliation:(College of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China)
Abstract:A causal pattern was defined, including resulting set, factor set, a variety of causal relations and kinds of parameters such as impact degree, category weight. Then combined with statistical analysis of various data mining algorithms and the advantages ofXML, a Web mining model was formed to find the intrinsic link and the occurrence between things on the Web. The model could be used to provide a strong basis of the forecasting and decision-making for the future implementation of the mandate. Application example shows that the model is effective and benefits the forecasting and decisionmaking.
Keywords:Web mining  causal pattern  factor set  result set  impact degree
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