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基于聚类分类法的信息过滤技术研究 被引量：4

Research of the information filter based on clustering launched classification
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摘要 为了提高信息过滤的效率,提出了一种基于聚类分类的信息过滤技术,并进行了研究,详细论述了实现的过程以及关键技术。通过实验表明,该方法较适合处理具不确定性的资料,是实现信息过滤的实用工具。 In order to improve the efficiency of information filter, the method based on clustering launched classification was designed and research, the process and key technology was discussed in details. Experiments show that the method is insensitive to parameter, It is a practical tool that realizing the information filter.
作者 李全鑫 魏海平
机构地区 辽宁石油化工大学计算机与通信工程学院
出处 《电子设计工程》 2014年第20期14-16,19,共4页 Electronic Design Engineering
基金 辽宁省教育科学‘十二五’规划立项课题(JG12DB279 JG13DB077)
关键词 聚类分类法 信息过滤 文本分类 K-MEANS算法 clustering launched classification information filter text classification K-means algorithm
分类号 TN919.5 [电子电信—通信与信息系统]
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参考文献5

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  • 2Kim D S,Nguyen H,Park J S.Genetic Algorithm to Improve. SVM Based Network Intrusion Detection System[C]//. Proc of the 19th International Conference on Advanced Information Networking and Applications, 2005: 155-158.
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共引文献1

同被引文献34

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电子设计工程
2014年 第20期

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