rdf模型有很多不同的序列化方式,专门针对主题定义和分类的dita图可以当作SKOS模型的一种序列化方式。
Variant serializations of RDF models are legion, and a DITA map that's specialized for subject definition and classification could be regarded as an alternative serialization of a SKOS model.
不过基于16s rRNA序列的分类树却对医学的贡献越来越大,主要体现在两个方面。
However, 16s rRNA-based phylogenetic trees are increasingly leading to advances in medicine, primarily in two ways.
本文对时间序列模式、分类规则和关联规则挖掘的方法进行了深入的研究。
In this thesis, the thorough study of time serial model, classification rule and association rule is made.
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