By analyzing the multiple pattern matching algorithm based on tree structure, a multiple pattern matching algorithm based on sequential binary tree is proposed in this paper. It is proved by experiment that the algori...By analyzing the multiple pattern matching algorithm based on tree structure, a multiple pattern matching algorithm based on sequential binary tree is proposed in this paper. It is proved by experiment that the algorithm has three features: its constructing process is quick. Its cost of memory is small. At the same time, its searching process is as quickly as the traditional algorithm. The algorithm proposed in this paper is suit for the application whose pattern set is changing dynamically, that is to say, it is suit for the application whose automata must be constructed dynamically. So, the algorithm has a good application prospect.展开更多
提出一种基于确定的有穷状态自动机(deterministic finite automaton,简称DFA)的正则表达式压缩算法.首先,定义了膨胀率DR(distending rate)来描述正则表达式的膨胀特性.然后基于DR提出一种分片的算法RECCADR(regular expressions cut a...提出一种基于确定的有穷状态自动机(deterministic finite automaton,简称DFA)的正则表达式压缩算法.首先,定义了膨胀率DR(distending rate)来描述正则表达式的膨胀特性.然后基于DR提出一种分片的算法RECCADR(regular expressions cut and combine algorithm based on DR),有效地选择出导致DFA状态膨胀的片段并隔离,降低了单个正则表达式存储需求.同时,基于正则表达式的组合关系提出一种选择性分群算法REGADR(regular expressions group algorithm based on DR),在可以接受的存储需求总量下,通过选择性分群大幅度减少了状态机的个数,有效地降低了匹配算法的复杂性.展开更多
文摘By analyzing the multiple pattern matching algorithm based on tree structure, a multiple pattern matching algorithm based on sequential binary tree is proposed in this paper. It is proved by experiment that the algorithm has three features: its constructing process is quick. Its cost of memory is small. At the same time, its searching process is as quickly as the traditional algorithm. The algorithm proposed in this paper is suit for the application whose pattern set is changing dynamically, that is to say, it is suit for the application whose automata must be constructed dynamically. So, the algorithm has a good application prospect.
文摘提出一种基于确定的有穷状态自动机(deterministic finite automaton,简称DFA)的正则表达式压缩算法.首先,定义了膨胀率DR(distending rate)来描述正则表达式的膨胀特性.然后基于DR提出一种分片的算法RECCADR(regular expressions cut and combine algorithm based on DR),有效地选择出导致DFA状态膨胀的片段并隔离,降低了单个正则表达式存储需求.同时,基于正则表达式的组合关系提出一种选择性分群算法REGADR(regular expressions group algorithm based on DR),在可以接受的存储需求总量下,通过选择性分群大幅度减少了状态机的个数,有效地降低了匹配算法的复杂性.
