计算机工程2011，Vol.37Issue(18)：38-40,43,4.
基于空间布局约束的拓扑关联规则挖掘
Topology Association Rule Mining Based on Spatial Layout Constraint
摘要
Abstract
In spatial topology association mining, in order to extract topology association rule with given spatial layout relation, this paper proposes an algorithm of topology association rule mining based on spatial layout constraint, which is able to extract topology association rule with , spatial layout constraint in multi-spatial relation patterns. The algorithm turns spatial relation transaction into integer, and refactors weight vector of non-target spatial object class via spatial layout constraint, and decreases refactoring weight value to generate candidate frequent item set, and computes its support via Boolean operation. When mining topology association rule with given spatial layout relation, the algorithm is faster and more efficient than traditional mining algorithm by these ways.关键词
拓扑关联/空间布局约束/向量重构/重构权位值/空间数据挖掘Key words
topology association/ spatial layout constraint/ vector refactoring/ refactoring weight/ spatial data mining分类
自科综合引用本文复制引用
方刚..基于空间布局约束的拓扑关联规则挖掘[J].计算机工程,2011,37(18):38-40,43,4.基金项目
重庆市万州区科技攻关计划基金资助项目(2010-23-01) （2010-23-01）
重庆三峡学院科研基金资助项目(11ZD-18) （11ZD-18）
