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Intrusion detection system based on multi-strategy pruning algorithm of the decision tree

机译:基于决策树多策略修剪算法的入侵检测系统

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摘要

The decision tree is an effective classification method in data mining. Using this method, the intrusion detection system can be more accurate and efficient to process network data. However, faced with a large network data set, the scale of decision tree is often complex and hard to understand. This paper presents a multi-strategy pruning algorithm to trim the tree. This method can improve the efficiency and accuracy of intrusion detection system.
机译:决策树是数据挖掘中一种有效的分类方法。使用这种方法,入侵检测系统可以更准确,更有效地处理网络数据。但是,面对庞大的网络数据集,决策树的规模通常很复杂且难以理解。本文提出了一种多策略修剪算法来修剪树。该方法可以提高入侵检测系统的效率和准确性。

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