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Application of dynamic association rules in network data mining

机译:动态关联规则在网络数据挖掘中的应用

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Under the background of Internet big data era, the amount of data information in all walks of life is increasing day by day. How to filter, mine and manage different kinds of data information has become an important topic of network communication, public service data analysis, privacy protection and other activities. This paper mainly discusses the algorithm of association rules mining based on Apriori algorithm. The association algorithm is used to process the raw data and privacy data of different network data sets, and dig out the multi-level frequent itemsets in the database.
机译:在互联网大数据时代的背景下,各行各业的数据信息的数量日益增加。如何过滤,矿山管理不同类型的数据信息已成为网络通信,公共服务数据分析,隐私保护等活动的重要主题。本文主要讨论了基于APRIORI算法的关联规则挖掘算法。关联算法用于处理不同网络数据集的原始数据和隐私数据,并在数据库中挖掘多级频繁项集。

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