Semantic association is defined as the representation of rich knowledge about binary relation in semantic data model.
语义关联是语义数据模型中实体之间二维关系的知识表示形式。
It analyzes the express method of affair and association rule in the binary system sequences set and complexity in space and time.
分析了事务与关联规则在二进制序列集中的表示方法及其在空间、时间上的复杂度。
Firstly, the deficiency of two popular methods, measure of ordinal association and ROC analysis, for validation of binary regression models was illustrated by a designed numerical example.
首先通过一个数值例子，说明了顺序关联度量与ROC分析两种常用方法在二项响应回归模型预测能力验证方面存在的不足。
应用推荐