后缀树,Suffix tree英语短句,例句大全

后缀树,Suffix tree
1)Suffix tree后缀树
1.Automatic extraction of software plans for program comprehension based on suffix trees;基于后缀树的程序理解Plan自动提取
2.Information extraction for web forum based on suffix tree;基于后缀树的Web论坛信息抽取
3.Research of automatic wrapper generation method based on suffix tree;一种基于后缀树的包装器自动生成方法研究

英文短句/例句

1.The Study of Streaming Text Representation Method Based on Suffix Tree Model (STM) and Its Application;基于后缀树模型的流文本表示研究及其应用
2.Research of a Suffix Tree Based Automatic Wrapper Generation Method;一种基于后缀树的包装器自动生成方法的研究
3.An Improved Text Clustering Algorithm of Generalized Suffix Tree一种改进的基于广义后缀树的文本聚类算法
4.Suffix Tree Based Label Generation Method for Web Search Results Clustering基于后缀树的Web检索结果聚类标签生成方法
5.A PST based Alert Event Sequence Analysis Method for Large Scale Network基于概率后缀树的宏观网络报警事件序列分析
6.Implementation of Chinese and English Clustering Engine Based on Improved Suffix Tree Algorithm基于改进后缀树算法中英文聚类引擎的实现
7.The Realization of Chinese and English Clustering Engine Based on the Improved Suffix Tree Algorithm;基于改进的后缀树算法的中英文聚类引擎的实现
8.-ard [ - ard, ] .－ard[后缀]。
9.(prefix) coming after.（前缀）之后出现的。
10.suffix notation后缀表示法 -软件
11.The field was interspersed with stands of trees.原野上点缀着树木。
12.Coconut palms fringe the shoreline.岸边点缀着椰子树。
13.Hill and woods diversify the landscape.山陵和树林点缀景色。
14.The combined length of the non-collision prefix/suffix and the collision prefix/suffix cannot exceed 8 characters.非冲突的前缀/后缀和冲突的前缀/后缀合并起来不能超过8个字符。
15.A Study on Noun Suffix (Quasi-Suffix) Denoting Person in Modern Chinese;现代汉语表人名词后缀、类后缀考察
16.The Pronunciation of Redulplication Suffix in ABB Model Adjective;带叠音后缀形容词的叠音后缀的读音
17.On the Deriving Mechanism of Chinese Affixes and the Similarities and Differences of the Prefixes and Suffixes汉语词缀的衍生机制和前缀后缀的异同
18.separable suffix可分后缀, 可分后加成分

相关短句/例句

generalized suffix tree广义后缀树
1.To improve the clustering efficiency,a simple but reasonable measure for base cluster selection is presented to exclude some generalized suffix tree nodes which contribute less to the clustering.为了进一步提高聚类效率,给出了一种简单有效的用于基类选择的测度,用来排除一些无意义的广义后缀树节点。
3)marked suffix tree(MST)标注后缀树
4)Index suffix tree索引后缀树
5)General suffix tree通用后缀树
6)STC后缀树聚类
1.The comparison and analysis show that STC(Suffix Tree Clustering) algorithm is better than k-Means and Ant-based clustering algorithms.在此基础上选择k-Means聚类算法、STC(后缀树聚类)算法和基于Ant的聚类算法进行了实验对比。
2.The comparison results show that STC(Suffix Tree Clustering) algor.利用标准的分类测试集合进行聚类质量的量化评价,选择了k-Means聚类算法、STC(后缀树聚类)算法和基于Ant的聚类算法进行了实验对比。