Experiments show great performance gains over existing sequential pattern mining algorithms, especially for large database.

实验证明，该算法在大规模数据的处理上比现有序列模式挖掘算法有更好的性能。

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This paper firstly introduces the basic concept of sequential pattern mining, then describes the main algorithms and finally analyzes their performance.

先介绍序列模式挖掘中的基本概念，然后描述几个重要算法，最后给出性能分析。

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Also, some of data mining algorithms that are commonly used in Web Usage mining are clustering, association rule generation, sequential pattern generation etc.

同时本篇论文也主要提出了一些经常被使用的数据挖掘的算法像聚类挖掘、关联规则挖掘、序列模式挖掘等。

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