In this paper, we use frequent sequence mining method to find keywords.
本文提出用频繁序列挖掘的方法提取关键词串。
Discovering the maximal frequent sequence is an important branch in data mining.
最大频繁序列发现是数据挖掘中的一个重要分支。
The algorithm researches in this paper can be used for sequence mining or searching frequent sequences related to time.
本文的中缀算法适用于序列挖掘，寻找和时间相关的频繁序列。
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。
For example, each node can contain a sequence number that makes it easy to sort nodes in their sequential document order, a frequent XSLT requirement.
例如，每个节点可以包含一个序号，这就易于按连续的文档顺序排序节点，这是一个常见的XSLT需求。
You need to perform frequent tests for membership in a sequence.
在一个序列里，你需要为成员关系执行频繁的测试。
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。
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。
In this paper, knowledge discovery in network alarm sequence is studied and an algorithm of frequent episode rule discovery based on sliding Windows is presented.
本文研究网络告警序列中的知识发现问题，提出并实现了一种基于滑动窗口的情景规则挖掘算法。
It matched user's active access sequence with frequent item sets made by association rules in real time and offered different resources to different users.
其利用关联规则得到的频繁项集实时地匹配用户的当前访问序列，对不同的用户提供不同的推荐资源。
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。
SQ2 sequence due to frequent changes in structure, and because the later strongly denudation, leading to coal accumulation gradually weakened.
SQ2层序由于构造变动频繁，加以后期剥蚀严重，导致聚煤作用逐渐减弱。
In the algorithm the items and the sequence are discussed respectively, and the time join method is used to introduce the candidate sets, so the frequent sets can be gotten.
该算法考虑了项目集与序列之间的关系，利用时序连接法，采用不同的构造法，构造出相对应的候选集，从而计算出频繁集。
In the time sequence control respect, it USES CPLD to realize frequent tracking and synchronized sampling function.
在时序方面采用CPLD来控制，同时实现了频率的跟踪和同步采样功能。
As for SQ2 sequence, due to frequent changes in structure and subsequent strong denudation, the coal accumulation was gradually weakened.
SQ 2层序由于构造变动频繁，加上后期剥蚀严重，导致聚煤作用逐渐减弱。
As for SQ2 sequence, due to frequent changes in structure and subsequent strong denudation, the coal accumulation was gradually weakened.
SQ 2层序由于构造变动频繁，加上后期剥蚀严重，导致聚煤作用逐渐减弱。
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