一种基于用户导向的多数据库例外模式挖掘方法

An Approach of Mining Exceptions in Multi-Database Based on Users' Interest

例外模式挖掘是数据挖掘的一项重要内容.该文针对用户的兴趣提出一种多数据库中例外模式的挖掘方法,先由用户给定他感兴趣的数据对象,选择与用户兴趣相关的数据,局部分析每一个数据库得到局部模式,再将局部模式综合得到全局模式,最终得到例外模式;并用实验验证了该方法的正确性和有效性.

Mining exceptions is an important topic in data mining. This paper proposes an approach of mining exceptions in multi- database based on users＇ interest. First, users provide data object of their interest . Then we select relevant data with respect to users＇ interest. Through analysis of every database locally to obtain local patterns and then synthesis , we can obtain exceptions. We also evaluate our algorithm experimentally . It is validated that our algorithm is effective and efficient.