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1)  IRST
互关联后继树
1.
An IRST-Based Algorithm for Construction of Concept Lattices;
基于互关联后继树的概念格构造算法
2.
First, on the base of existing studies, introduced a new full-text information retrieval model, Inter-Relevant Successive Tree(IRST), which is still in the initial stage and then make comparison between the model of the IRST and its major improved models and several mainstream models of full-text information retrieval, such as Bitmap、Inverted Files、Pat Array in terms of performance.
首先在已有研究结果的基础上介绍了目前尚处在起步阶段的新型全文检索模型——互关联后继树(简称IRST)模型,就互关联后继树及其主要改进模型同几种主流的全文检索模型如位图模型、倒排表模型、Pat数组模型等性能方面的差异进行了比较。
3.
To speed up queries over graph-structured XML documents,on the basis of Inter-Relevant Successive Trees(IRST),we introduce the idea of similarity merging from structural index,and propose an efficient IRST-based structural index for branching path queries,IRST(k,l)-index.
为快速准确地查询图结构XML文档,本文在互关联后继树(IRST)的基础上,引入结构索引的相似性归并思想,提出一种基于互关联后继树且支持分支路径查询的高效XML结构索引—IRST(k,l)-index,并给出该索引的快速创建和查询算法。
2)  Inter-relevant successive trees
互关联后继树
1.
Text compression based on inter-relevant successive trees;
基于互关联后继树的文本压缩
3)  Inter-Relevant Successive Tree
互关联后继树
4)  Indirect Inter-Relevant Successive Tress with Dual Arties
二元间接互关联后继树
5)  Inter-Revelant Sucessive Tree Model
互关联后继树模型
6)  DIRST
双排序互关联后继树
补充资料:唇裂术后继发畸形


唇裂术后继发畸形
secondary deformity of cleft lip

唇裂经手术修复后,有些病例可遗留一定的缺陷或逐渐显现新的畸形,称为唇裂术后继发畸形。常见有:上唇太长,上唇过紧,红唇缘不齐,唇弓不显,鼻孔过大或过小,鼻孔底部缺裂,鼻尖过低,鼻歪斜,牙及牙槽突裂畸形,瘢痕增生或针迹显著等。针对不同的继发畸形可采用相应的手术方法再次矫正。
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