数据挖掘使专家、分析师和用户可以洞察大量数据集中存在的模式，并使之成为日常业务流程中的一部分。
Data mining enables experts, analysts and users to gain insight into patterns in large data collections and to incorporate them in every day business processes.
挖掘模块是允许用户研究索引以及发现模式和关系的一个接口。
The mining module is the interface that allows users to explore the index and discover patterns and relationships.
我们已经从我们的用户和客户那里挖掘了很多的模式，并且使得这些特性在Mule中得以轻松的实现。
We have farmed a lot of patterns from our users and customers and put features in place to make it easy to realise these patterns in Mule.
这些数据，当挖掘后，倾向于集中于某些特定年龄组和特定颜色周围，方便用户快速判断该数据内的模式。
The data, when mined, will tend to cluster around certain age groups and certain colors, allowing the user to quickly determine patterns in the data.
本系统给出了基于关联规则挖掘和基于用户事务模式聚类两种推荐算法。
The system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
该文主要对移动日志数据库不断更新的问题，提出了增量挖掘的方法，挖掘用户的移动模式。
An incremental mining technique is proposed in order to solve the problem of frequent updating of moving log database and mine the user mobility patterns.
近年来很多学者针对搜索技术提出了效率较高，符合用户需求的序列模式挖掘算法。
In recent years, for the search technology many scholars have designed more efficient sequential pattern mining algorithm which more meet the needs of users.
其思想是通过将网络审计数据转化为时序数据库，对其进行序列模式挖掘以提炼出用户行为模式，并由此进行异常检测。
The idea is to transform the net audit data into time series database and mine the sequence pattern to extract the user behavior pattern , and then to use behavior pattern in anomaly detection.
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。
Sequential pattern mining, which discovers frequent subsequences as interesting patterns in a sequence database.
互联网使用信息的挖掘就是对互联网用户网络访问行为进行分析挖掘，以获得描述其中内存规律的模式。
Mining of Internet message is analyzing and mining network access action of Internet user so as to obtain mode for describing memory rule.
单个用户访问网站能够留下大量的访问信息，合理地挖掘这些信息便能够得到用户个人的访问模式。
When accessing websites, single user usually left a lot of access information, which can be mined reasonably to acquire accessing patterns of single user.
蚁群算法是一种模拟进化算法，在挖掘特定用户群感兴趣的访问模式时，采用蚁群算法得到的模式会比较客观准确。
Ant colony algorithm is one of the simulation evolution algorithms, when mining the visiting pattern of the special crowd interested in, the pattern we got can be objective a.
在移动计算中与移动用户位置相关的移动对象位置管理服务以及基于位置的移动增值服务等都离不开移动用户移动模式的挖掘。
The management of mobile object location and the increasing service based on location in mobile computing both need the mining of user moving patterns.
提出了通过访问路径挖掘来分析用户测览模式的方法，并实现了一种有效的访问路径模式挖掘算法。
This paper studies the mechanism of mining web log, proposes a method of mining user browsing patterns, at last it presents a effective algorithms of mining traversal path patterns.
挖掘出的兴趣主题模式被描述成一组形式化概念，兴趣主题模式之间的联系被显示的在概念格中描述出来，利于用户理解。
The interest models of web users are represented as formal concepts and the relationship between these models are described in a concept lattice.
对于模式挖掘，由于用户不知道数据中什么类型的模式是有趣的，所以需要尽可能的挖掘多种不同的模式。
For the pattern mining, as users do not know which kinds of patterns in data are interesting, we need to detect different patterns as many as possible.
对于模式挖掘，由于用户不知道数据中什么类型的模式是有趣的，所以需要尽可能的挖掘多种不同的模式。
For the pattern mining, as users do not know which kinds of patterns in data are interesting, we need to detect different patterns as many as possible.
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