该算法分为三个主要步骤—建立后缀树，寻找公共子串，连接公共子串。
There are three major steps: establish suffix tree, search for common strings and link common strings.
给出了基于后缀树用户浏览频繁路径、页面可达集和可达概率的快速计算方法；
We present a quick method to mine the frequent path and the reachable set and probability of web pages browsed by users based on the suffix tree;
因此，本文将后缀树算法应用到元搜索引擎中，设计了一个带聚类的元搜索引擎系统。
Therefore, this article applies suffix tree algorithm to the meta search engines, and designs a meta search engine systems with a clustering algorithm.
后缀树是一种非常重要的数据结构，它在与字符串处理相关的各种领域里有着非常广泛的应用。
The suffix tree is a very important data structure, which finds a wide variety of applications in many areas related to string processing.
本文主要对适用于生物序列数据上的后缀树索引技术和生物信息学中的多序列比对算法进行了分析和研究。
This thesis mainly focuses on the study of suffix tree index technical dealing with bio-sequences and multiple sequences alignment problem in bioinformatics.
为此，我们引入过程蓝图改进该方法，降低程序的空间复杂度，并避免将源代码变换为后缀树这一复杂过程。
In order to reduce the space complexity of the arithmetic and avoid transforming the source code top-suffix tree, the method is improved based-on process blueprint.
在分析了后缀树和后缀数组字符串匹配算法的基础上，详细阐述了基于后缀数组的精确串联重复序列识别方法。
It addresses the method of identifying the accurate tandem repeat in detail after analyzing suffix tree and suffix array algorithms of string matching.
本算法建立带后缀链的后缀树，利用后缀链可以快速定位下一后缀内结点的优势在线性时间内完成后缀树的建立；
The algorithm is based on suffix-tree with suffix link, make full use of the character of suffix link, rapidly position the next suffix internal node, to accomplish the suffix tree in linear time;
其次，提出从导航路径中利用构造复合后缀树的方法来挖掘用户关键路径，并利用关键路径将用户聚类成不同的兴趣群。
Second, general suffix tree algorithm is used to mine the key path from user's all navigation paths, and using key path to cluster all users into different interest groups.
在部分后缀树的基础上提出了后缀树的并行算法，解决了后缀树在应用上的内存瓶颈问题，因此更适合大规模的序列分析。
Then based on partial suffix tree, presents a new parallel algorithm of suffix tree, which can construction large suffix tree in memory and more perfect to very large sequences.
创建aix树dn(后缀)，AIX用户和组存储于其中。
Creates the AIX tree DN (suffix) under which AIX user and group is stored.
可以认为这个后缀是存储Kerberos数据的树的根。
Consider the suffix as the root of the inverted tree under which the Kerberos data is stored.
因此，确保了用户cn=ldapbind,o=ibm,c=us 有权读取和搜索具有 o=ibm,c=us后缀的LDAP目录树。
Therefore, ensure that the user cn=ldapbind,o=ibm,c=us has access to read and search the LDAP Directory Tree with the suffix o=ibm,c=us.
通过对图灵机状态跳转函数的思索和状态树的构造，得到对于任意状态节点的最大后缀状态，从而大大地加快了识别器的识别效率。
And it also gets the longest suffix state in state tree derived through the constructing of the state-jump function and effectively speeds up the character matching.
通过对图灵机状态跳转函数的思索和状态树的构造，得到对于任意状态节点的最大后缀状态，从而大大地加快了识别器的识别效率。
And it also gets the longest suffix state in state tree derived through the constructing of the state-jump function and effectively speeds up the character matching.
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