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Automatic Classification Algorithm for Multisearch Data Association Rules in Wireless Networks

机译:无线网络中多搜索数据关联规则的自动分类算法

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摘要

In order to realize efficient data processing in wireless network, this paper designs an automatic classification algorithm of multisearch data association rules in a wireless network. According to the algorithm, starting from the mining of multisearch data association rules, from the discretization of continuous attributes of multisearch data, generation of fuzzy classification rules, and the design of association rule classifier and other aspects, automatic classification is completed by using the mining results. Experimental results show that this algorithm has the advantages of small classification error, good real-time performance, high coverage rate, and high feasibility.
机译:为了实现无线网络中的有效数据处理,本文在无线网络中设计了一种自动分类算法的多研究数据关联规则。 根据算法,从多研究数据关联规则的挖掘开始,从多学习数据的连续属性的离散化,产生模糊分类规则的生成,以及关联规则分类器的设计和其他方面,通过使用挖掘完成自动分类 结果。 实验结果表明,该算法分类误差小,实时性能良好,高覆盖率和高可行性优点。

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