To speed up mining sequential patterns, reducing the time cost is very important during discovering sequential frequent sequence.
提高序列模式挖掘算法效率的关键在于减少发现频繁序列的时间。
According to the complexity of pattern, the mined characteristic patterns could be sorted as frequent item, frequent sequence and frequent sub tree, etc.
根据特征模式复杂性，可分为频繁项模式、频繁序列模式以及频繁子树模式等。
An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub-sequences in a sequence database.
数据挖掘领域一个活跃的研究分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
Sequential pattern mining, which discovers frequent subsequences as interesting patterns in a sequence database.
序列模式挖掘就是发现序列数据库中的频繁子序列作为用户感兴趣的模式。
An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub - sequences in a sequence database.
数据挖掘领域的一个活跃分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
Absrtact: An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub - sequences in a sequence database.
摘要：数据挖掘领域一个活跃的研究分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and graph.
频繁模式挖掘是数据挖掘领域的一个重要方面，研究内容一般包括事务、序列、树和图。
Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and graph.
频繁模式挖掘是数据挖掘领域的一个重要方面，研究内容一般包括事务、序列、树和图。
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