首页> 外文会议>International Conference on Computational Science pt.4; 20040606-20040609; Krakow; PL >Parallelism of Association Rules Mining and Its Application in Insurance Operations
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Parallelism of Association Rules Mining and Its Application in Insurance Operations

机译:关联规则挖掘的并行性及其在保险业务中的应用

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摘要

Association rules mining is a basic method in data mi-ning.This paper first introduces the basic concepts of association rules mining and Apriori algorithm. It also provides a parallel association rules model scheme for improving the mining efficiency when treating large numbers of data sets as well as the analyse of the scheme effect. In conclusion we discuss how to apply association rules mining to insurance data sets, find out the knowledge hidden behind the data sets, and provide powerful decision-making support for people.
机译:关联规则挖掘是数据挖掘中的一种基本方法。本文首先介绍了关联规则挖掘和Apriori算法的基本概念。它还提供了一个并行关联规则模型方案,以在处理大量数据集时提高挖掘效率,并分析方案效果。总之,我们讨论了如何将关联规则挖掘应用于保险数据集,找出隐藏在数据集背后的知识,并为人们提供强大的决策支持。

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