地理信息关联规则挖掘算法的设计与应用

Design and Application of Association Rules and Sequential Patterns in Geography Information Data Digging

摘要:

本文着重就地理信息数据挖掘中的两种模式:关联规则和序列模式的概念和作用进行了探讨,阐述了在关联规则中寻找大项集算法的实现,以及在数据挖掘的序列模式基础上对寻找大项集算法的结果进行了改进和优化,使数据的关联规则与时间和序列之间建立了密切的联系,从而更好的实现了对于大规模地理信息数据库中数据的挖掘和利用。

Abstract:

As two models of geographic information data diggin g, association rules and sequential patterns are studied in this paper. Realizatio n of Apriori algorithm in searching large item sets by using association rules i s introduced as well. Based on sequential patterns of data digging, the result o f apriori algorithm is optimized. Thus, a closed connection between association rules and time sequence is set up, whic will realize good use of large scale geo graphic information data base.