保险营销的Apriori算法应用
首发时间:2006-12-16
摘要:随着计算机与网络技术的飞速发展以及信息化的广泛“蔓延”,保险行业已经累计了大量的历史信息资料,并且这些数据仍将继续膨胀。如何有效管理利用这些业务数据资料是保险信息化的当务课题。 数据挖掘技术作为分析处理数据的有效手段当前的发展已经日渐成熟并且已经应用到部分领域及部门。本文以关联规则数据挖掘技术为基础,在关联规则众多算法中选择经典Apriori算法,通过理论和样本数据两方面应用于Apriori算法,实现关联规则对保险营销的业务支持。
关键词: 保险营销 关联规则 Apriori算法
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Apriori Algorithm Application of Insurance Marketing
Abstract:With rapid speed development of computer an Internet technology, as well as informatization of computer "spreads" broadly, Insurance business has already accumulated large amount of history information and material, and these data will still continue expanding. How to efficiently administer and utilize these business data is an important issue for insurance informatization. Based on the assiciation rule data mining technology, we choose classical algorithms Apriori algorithm, By applying theory and the sample data to the Apriori algorithm, it could implement association rules’ support to insurance marketing.
Keywords: Insurance Marketing Association Rules Apriori algorithm
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