网络管理中关联规则的快速挖掘算法

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1174516

Peiqi Liu, Zeng-zhi Li, Yu-Xi Chen, Yinliang Zhao

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引用次数: 0

摘要

本文介绍了数据库中知识发现的研究现状，指出了经典先验算法的不足。本研究提出了基于约简数据库的AprioriNEW算法，并对该算法进行了分析和评价。该算法已应用于网络管理中trap信息的挖掘。

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A fast algorithm of mining association rules in network management

This paper presents the present study and research of knowledge discovery in database, points out the shortcoming of the classical a priori algorithm. Our research proposes the AprioriNEW algorithm based on reducing database, and analyses and appraises this algorithm in progress. The algorithm has been applied to mine the trap information in the network management.

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Proceedings. International Conference on Machine Learning and Cybernetics

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