高文莲, 高永强. 大型电子商务web数据库潜在威胁挖掘模型[J]. 微电子学与计算机, 2014, 31(5): 151-153,158.
引用本文: 高文莲, 高永强. 大型电子商务web数据库潜在威胁挖掘模型[J]. 微电子学与计算机, 2014, 31(5): 151-153,158.
GAO Wen-lian, GAO Yong-qiang. Large Potential Threats E-commerce Web Data Mining Model[J]. Microelectronics & Computer, 2014, 31(5): 151-153,158.
Citation: GAO Wen-lian, GAO Yong-qiang. Large Potential Threats E-commerce Web Data Mining Model[J]. Microelectronics & Computer, 2014, 31(5): 151-153,158.

大型电子商务web数据库潜在威胁挖掘模型

Large Potential Threats E-commerce Web Data Mining Model

  • 摘要: 本文提出基于人工免疫算法的大型电子商务web数据库潜在威胁数据挖掘方法.计算web数据库中潜在威胁数据属性的差异性,获得潜在威胁数据特征,对潜在威胁数据进行人工免疫,在免疫的过程中通过计算抗原与抗体的匹配度,获取潜在威胁数据的关联性,结合潜在威胁数据的关联性能够建立潜在威胁数据挖掘模型,实现了对大型电子商务web数据库潜在威胁数据的挖掘.实验结果表明,利用改进算法进行大型电子商务web数据库潜在威胁数据挖掘,能够提高挖掘的准确性,效果令人满意.

     

    Abstract: The artical a based on artificial immune algorithm for this potential threat to large e-commerce web database data mining methods.Computing potential threats in web database data attributes,the difference of the potential threat data obtained characteristics of artificial immune to potential threat data,in the process of immune by calculating the matching of antigen and antibody,can obtain potential threat data correlation,combined with the potential threat to potential threat data mining model is set up the correlation of data,has realized the potential threat to large e-commerce web database of data mining.Experimental results show that the improved algorithm to large potential threats e-commerce web database,data mining can improve the accuracy of mining,effect is satisfactory.

     

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