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Integration of Multiple Fuzzy Matrix _SOFM of Web users access pattern mining

机译:网页用户访问模式挖掘的多模糊矩阵_SOFM的集成

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When users visit web, it has variety of evaluated factors, take these situations into account, structuring Multiple fuzzy matrix, using several associated SOFM neural network being connected to carry out the study on the every evaluated factors, more accurate and scientific in Web Mining user access patterns. Finally, using this algorithm in simulation experiment, to some extent, improved user access pattern mining WEB accuracy and operational efficiency; through the simulation results prove that the algorithm is a relatively good clustering algorithm.
机译:当用户访问Web时,它具有各种评估因素,考虑这些情况,构建多个模糊矩阵,使用多个相关的SOFM神经网络进行连接,对每个评估的因素进行研究,更准确和科学挖掘用户的学习访问模式。最后,在仿真实验中使用该算法,在某种程度上提高了用户访问模式挖掘网精度和运行效率;通过模拟结果证明,该算法是相对良好的聚类算法。

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