高效关联规则数据挖掘算法研究

关联规则挖掘是数据挖掘领域的一个重要问题，由于关联规则挖掘通常是基于超大型数据库或数据仓库，算法的效率在一定程度上决定挖掘的成败，针对关联规则挖掘中的主要任务－－频集发现过程中存在的几个问题，提出了项目树的概念，引出了一种新的控制模式，并设计了相应的高效挖掘算法，大大提高了挖掘效率。

Research of efferent data mining algorithm for assocoation rule

One of the most important projects in data mining is the mining for associa tion rules.Generally,the mining of association rule is based o n huge database and data warehouse,s o whether the project can be carried out successfully mostly depend on th e significance of the mining algorit hm.In allusion to the main task.find ing the supported items,in association rule mining.The notion of items -tre e is suggestedand and is developed .A new pattern of association rule mini ng based on items -tree is founded.An efferent algorithm for the new model and testified it.The mining efficie ncy is improved signisicantly.