数据挖掘技术及其在旅游线路规划系统的应用

研究了旅游线路规划的现状．介绍了在旅游线路规划中使用的方法，引入了关联规则挖掘的基本概念，以及分析了其主要过程。并通过分析关联规则挖掘中的Apriori算法及其改进算法的基础上，提出了一种将Apriori改进算法与旅游线路规划挖掘结合的概念，通过与Apriori算法相比较，提高了系统的效率，并给出了一种典型应用，获得了较理想的应用效果。最后结合当前的旅游网站特点，充分应用网站的信息，设计了一个旅游线路规划的挖掘系统。

Application of Association Rule in Data Mining for Tour Planning

Analyses the current situation in route planning,the methods which were used in route planning and the concepts and main process about association rules are introduced,and analyze the process of association rules.And then by analyzing Apriori algorithm and its improvement,a concept was advanced which was based on a new improvement of Apriori algorithm and tour route planning mining,compared with Apriori algorithm,increased the efficiency of system,it gives out an application in tour route planning mining and acquires good effects.Finally according to the actuality of tour website,to make full use of the information on the website,proposes a route planning mining system which based on association rules.