为了解决这一问题，提出了一种多关系频繁模式挖掘算法。
In order to solve this problem, this paper proposed a multi-relational frequent pattern mining algorithm.
分析结果表明，利用规则兴趣度能够大大减小候选项目集的大小，有效提高频繁模式挖掘算法的效率。
The result indicates that we can remarkably decrease the candidate items and improve the efficiency of mining frequent pattern when using the interest measure.
在论述数据流管理系统模型的基础上，深入分析了国内外的各种频繁模式挖掘算法，并指出这些算法的特点及其局限性。
Based on comment of DSMS model, various frequent pattern mining algorithms are analyzed thoroughly and their characteristics and limitation are pointed out in this paper.
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。
To speed up mining sequential patterns, reducing the time cost is very important during discovering sequential frequent sequence.
本文对RNA分子建立树形模型，利用频繁子树挖掘算法挖掘RNA二级结构中的公共拓扑模式。
The paper builds tree-model of RNA molecules and utilizes frequent sub tree mining algorithm to mine common topological patterns among RNA secondary structures.
在此基础上，进一步介绍了频繁模式挖掘的经典算法以及电信收入保障系统的体系结构。
On this basis, further information on the classic frequent pattern mining algorithm and income security systems of telecommunications architecture is introduced.
采用关联规则挖掘算法对图像纹理的频繁模式进行挖掘，通过联合关联规则来表达纹理。
The frequent patterns of texture could be mined by the algorithm of association rules mining. The association rules could be combined to represent the texture.
本文提出了一种挖掘频繁运动模式即移动对象运动轨迹中所有频繁轨迹集合的高效算法。
This paper presents a efficient algorithm to mine frequent movement patterns, which is the set of the frequent trajectories of moving objects.
给出基于约束的频繁最大模式的定义和挖掘基于约束的频繁最大模式算法。
It gives the definition of the frequent maximum pattern with constraint and develop an algorithm for mining frequent maximum patterns with convertible anti-monotone constraint.
因此，文章提出了一种最大频繁模式的快速挖掘算法DMFP及更新算法IUMFP。
This paper proposes a fast algorithm DMFP and an updating algorithm IUMFP, which are based on Prefix Tree for mining maximum frequent patterns.
在频繁模式挖掘过程中能够动态改变约束的算法比较少。
A new algorithm, constrain-based frequent patterns mining, was developed to provide frequent pattern mining with constraints.
在模式挖掘方面，集成了目前有效的最大向前路径挖掘算法和频繁遍历路径挖掘算法，并且将孤立点分析方法引入日志挖掘中。
Efficient mining algorithm of maximum forward path and efficient mining algorithm of frequent traversal path are integrated in the mining period; Outlier analysis is introduced into the mining system.
首先对有代表性的挖掘算法从算法思想、关键技术、算法的优缺点进行了分析概括，此后列举了一些典型频繁模式及关联规则的领域应用。
After analyzing and summarizing on ideas, key technology, advantage and disadvantage for some representative frequent pattern mining algorithms have been done, the typical application is listed.
频繁模式挖掘是最基本的数据挖掘问题，由于内在复杂性，提高挖掘算法性能一直是个难题。
Frequent pattern mining is a fundamental data mining problem for which algorithms still suffer from inefficiencies because of the inherent complexities.
在时间序列的模式表示的基础上挖掘其频繁子模式，可以大大提高挖掘的效率和准确性，达到事半功倍的效果。在该算法中，还使用了一定的剪枝策略，使得算法的时间复杂度进一步降低。
Mining Time Series Frequent Sub-pattern based on Pattern Representation can enormously increase the efficiency and veracity of mining, and get twice the result with half the effort.
在时间序列的模式表示的基础上挖掘其频繁子模式，可以大大提高挖掘的效率和准确性，达到事半功倍的效果。在该算法中，还使用了一定的剪枝策略，使得算法的时间复杂度进一步降低。
Mining Time Series Frequent Sub-pattern based on Pattern Representation can enormously increase the efficiency and veracity of mining, and get twice the result with half the effort.
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