目前机助分类技术主要着眼于统计模式识别和基于知识的分类决策。
Now the computer_based classification techniques' study has been focusing on the statistical pattern recognition and the knowledge_based classification rule.
除了普通的建模规则与可评价的概念，方法必须基于中央的分类以及模型架构的知识。
Besides common modeling rules and a scalable notation, the approach must be based on a central taxonomy and knowledge of modular architecture.
在上述研究工作的基础上，实现了基于多扩展概念格的分类知识发现原型系统。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
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