【摘要】 Apriori算法是最著名、应用最广泛的关联规则挖掘算法。文章阐述了Apriori算法的基本理论,研究了Apriori算法的不足及多种改进算法,最后提出了一种基于数据属性的改进算法,并利用农业病害数据对改进后的算法进行了测试。实验证明,新算法提高了原算法的挖掘效率,并且挖掘出了指定要求形式的规则。更多还原

【Abstract】 Association rules is an important data mining models. With the development of the data mining technology, the applicable scope of the association rules is constantly expanding, which has been extended from the initial " supermarket basket analysis" to agriculture, medicine, banking and other areas.Apriori is the most famous and widely used algorithm of mining association rules. Through explain the basic theory of the apriori algorithm and study the problems and a variety of improved algorithms, an improved algorithm based on the data attributes was proposed, It improves the mining efficiency and could obtain the requested form of rules.更多还原