摘要： 由于网络数据流量的急剧膨胀,人们迫切希望对流量数据进行更深层次的分析,以发现隐藏在数据中的知识。但传统的网络流量监测和分析系统无法完成这一任务。作者采用基于冰山查询的关联规则挖掘方法,对网络流量与各IP之间的联系进行关联分析,取得了较好的效果。

关键词: 数据挖掘, 关联规则, 排序FP-树, 冰山查询, 网络流量

Abstract: Since the rapid growth of net flow, for discovering the knowledge behind the data, that the requirement of applying deeper analyses to this kind of data becomes more and more urgent. But the traditional net flow monitoring and analysis system cann’t accomplish this task. Authors propose association rules mining approach based on iceberg queries for analyzing the corelation between net flow and each IP address, and acquire quite good results.

中图分类号: 

• TP311.13