Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning.
采用FP -bonsai pruning而实现更快的频繁模式增长(Frequent Pattern Growtt)算法。
Frequent pattern mining is one basic research of data stream mining.
数据流频繁模式挖掘是数据流挖掘的基础研究之一。
Frequent pattern mining is a key problem in many data mining application.
频繁模式挖掘是多种数据挖掘应用中的关键问题。
Many new techniques and methods on frequent pattern mining in data stream have been proposed.
国内外学者已提出许多新的挖掘数据流频繁模式的方法和技术。
Frequent pattern technology in application of telecommunications income security is highlighted.
重点介绍了频繁模式技术在电信收入保障中的应用。
The above work can give a valuable reference for frequent pattern mining and association rules studying.
上述工作可以为频繁模式挖掘及关联规则的研究提供有益的参考。
In order to solve this problem, this paper proposed a multi-relational frequent pattern mining algorithm.
为了解决这一问题，提出了一种多关系频繁模式挖掘算法。
A new algorithm, constrain-based frequent patterns mining, was developed to provide frequent pattern mining with constraints.
在频繁模式挖掘过程中能够动态改变约束的算法比较少。
This paper presents and implements a macro-network traffic anomaly detection strategy based on sequential frequent pattern mining.
基于序贯频繁模式挖掘，提出并实现了一种宏观网络流量异常检测的方法。
Frequent pattern mining is a fundamental data mining problem for which algorithms still suffer from inefficiencies because of the inherent complexities.
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。
The result indicates that we can remarkably decrease the candidate items and improve the efficiency of mining frequent pattern when using the interest measure.
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。
On this basis, further information on the classic frequent pattern mining algorithm and income security systems of telecommunications architecture is introduced.
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。
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.
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。
In this paper, labeled ordered tree is used as the data model of semi structured data, the problem of maximum tree structured frequent pattern mining from semi structured data is studied.
本文以标记有序树作为半结构化数据的数据模型，研究了半结构化数据的树状最大频繁模式挖掘问题。
The technique focus on frequent pattern mining, the existed models of frequent pattern mining have the advances respectively, but there is shortcoming in the intelligence and universality.
该方法主要是针对频繁模式的挖掘，现有的频繁模式挖掘的模型各有优点，但在智能性和通用性方面表现的较差。
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.
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。
A frequent example of the use of this pattern is the bridging between JMS implementations from different vendors.
此模式的一个常见例子是对来自不同供应商的JMS实现进行桥接。
Since the target is created specifically to support those service requests, this pattern is a preferred approach for requirements of highly frequent transaction execution.
因为目标专门创建用于支持这些服务请求，所以对于高事务执行频率的需求，该模式是一种首选的方法。
This anti-pattern is also one of the most frequent modeling errors.
此反模式也是最常见的建模错误之一。
Your kitten should be eating up to five times a day at first, slowly moving toward a less frequent meal pattern.
你的小猫开始时每天最多可以吃5次食，慢慢再减少吃食次数。
It differs from the previous algorithms in applying a new frequent-pattern searching strategy, which greatly reduces the workload of building intermediate data.
和已有的算法相比，它采用了新的频繁模式搜索策略，大幅度减少了在构造中间数据方面的工作量。
When there are a great many of items and transactions in the database, frequent-pattern growth algorithm needs more additional computer memory, which may cause the lack of memory.
当数据库中的项目数目较大且事务数量巨大时，频繁模式增长算法内存开销很大，可能导致内存空间不足的现象。
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。
Experimental results showed that computation of condensed frequent sequential pattern base is promising.
实验结果显示计算频繁序列模式精简基是很有前途的。
How to generate candidate frequent sequential pattern and calculate its support is a key problem in mining frequent sequential patterns.
如何确定候选频繁序列模式以及如何计算它们的支持数是序列模式挖掘中的两个关键问题。
Land use spatial pattern changes fast in Chongming Dongtan for its special natural conditions and frequent human activities.
崇明岛东滩因其特殊的自然条件及频繁的人类活动影响，土地利用空间格局变化速度较快。
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。
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.
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。
Aiming at this problem, graph based link discovery technology, which compresses the fund exchange graph by frequent subgraphs, can detect the criminal pattern of groups with illegal fund exchanges.
针对这一问题，采用基于图的链接发现技术，利用频繁子图对资金交易图进行压缩，可以有效地侦测群体的异常资金交易结构。
Aiming at this problem, graph based link discovery technology, which compresses the fund exchange graph by frequent subgraphs, can detect the criminal pattern of groups with illegal fund exchanges.
针对这一问题，采用基于图的链接发现技术，利用频繁子图对资金交易图进行压缩，可以有效地侦测群体的异常资金交易结构。
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