suffix-tree

基本解釋

We propose a text vector space model (VSM) based on suffix tree and implement a text categorizing system on the model.
摘要本文在面向網(wǎng)絡(luò)內(nèi)容分析的前提下，提出了一種基于后綴樹(shù)的文本向量空間模型(VSM)，并在此模型之上實(shí)現(xiàn)了文本分類系統(tǒng)。
High-frequency words extracting algorithm based on suffix tree is used to extract content features of items and the use of thesaurus can be avoided.
采用基于前綴樹(shù)的高頻詞抽取算法抽取試題的內(nèi)容特征，避免了對(duì)同義詞典的依賴。
As a data structure, the suffix tree was first presented to support the string matching and queries, for instance: searching the maximum repetition substring, matching of the similar strings, stings comparisons etc.
后綴樹(shù)作為一種數(shù)據(jù)結(jié)構(gòu),最早是為支持有效的字符串匹配和查詢而提出的,例如:尋找最長(zhǎng)的重復(fù)子串,相似串的匹配,串比較等問(wèn)題。
Mining algorithm of Web access patterns based on suffix tree
一種基于后綴樹(shù)的Web訪問(wèn)模式挖掘算法
A Local Alignment Algorithm Implemented with Inter-Related Suffix Tree Model
用互關(guān)聯(lián)后繼樹(shù)模型實(shí)現(xiàn)一個(gè)局部相似性比對(duì)算法