Based on some sequential pattern mining algorithm, the dissertation analyzed the shortage of the MEMISP algorithm, and proposed an improved MEMISP algorithm.
本文在研究当前比较流行的一些序列模式挖掘算法的基础上，重点分析了MEMISP算法的不足。
In recent years, for the search technology many scholars have designed more efficient sequential pattern mining algorithm which more meet the needs of users.
近年来很多学者针对搜索技术提出了效率较高，符合用户需求的序列模式挖掘算法。
An improved sequential pattern mining algorithm is proposed, which is based on sliding time window and can discover general earthquake sequences according to field knowledge.
结合地震预报的领域知识，面向具体的应用，提出了一种改进的基于滑动时间窗口的序贯模式挖掘算法，用来发现广义的地震序列。
The corresponding prefetching algorithm, which comes from the sequential pattern mining method in data mining area, is also raised.
借助数据挖掘领域中序列模式挖掘的方法，提出了相应的预取算法。
The sequential pattern is a very useful knowledge one in time related databases, and it is very important to find out high efficient algorithm of mining it.
序贯模式是时间相关数据库中存在的一种十分有用的知识模式，其发掘方法的研究有着十分重要的意义。
The sequential pattern is a very useful knowledge one in time related databases, and it is very important to find out high efficient algorithm of mining it.
序贯模式是时间相关数据库中存在的一种十分有用的知识模式，其发掘方法的研究有着十分重要的意义。
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