云南民族大学学报（自然科学版）2017，Vol.26Issue(6)：492-496,5.DOI:10.3969/j.issn.1672-8513.2017.06.012
一种基于多关系的朴素贝叶斯空间分类算法
One Naive Bayesian classification algorithm based on multi-relation data
摘要
Abstract
When a spatial object being classified, not only its non-spatial attributes but also the non-spatial at-tributes of its spatial neighbor should be considered. This paper has proposed a spatial naive Bayesian classification algorithm based on multi-relational data. This algorithm utilizes the multi-relation classification method in spatial classification, and considers the influence on the classification result about non-spatial attributes of each neighbor-ing object. The classification accuracy rate of this algorithm is better than that of the naive Bayesian classification algorithm based on single relation. This algorithm can carry out big data processing in the spatial database and does not require the intricate data pretreatment.关键词
空间分类/多关系分类/朴素贝叶斯分类Key words
spatial classification/multi-relation classification/Naive Bayesian classification分类
信息技术与安全科学引用本文复制引用
赵秦怡,王丽珍..一种基于多关系的朴素贝叶斯空间分类算法[J].云南民族大学学报（自然科学版）,2017,26(6):492-496,5.基金项目
大理大学教学改革项目(JGVI-65). （JGVI-65）
