Clustering is a data mining problem that has received significant attention by the database community.
聚类作为数据挖掘的一个问题已经受到了数据库团体的密切关注。
A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.
针对数据挖掘问题，将直觉模糊集与神经网络理论相结合，提出一种新的方法。
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。
Discovering association rules between items in a large database is an important data mining problem. The number of association rules is usually very large.
在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题，而挖掘出的关联规则数目常常是巨大的。
Discovering association rules between items in a large database is an important data mining problem as the number of association rule is usually very larger.
在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题，而挖掘出的关联规则数目常常是巨大的。
Discovering association rules is an important data mining problem. While discovering Quantitative association rules differs from traditional Boolean association rules.
关联规则的发现是数据挖掘的一个重要方面，而数量关联规则的发现不同于传统的布尔型关联规则。
"The problem of supply is easily solved," says John Kaiser of Kaiser Bottom-Fish Online, a website on mining.
“供应的问题很好解决。”采矿业网站Kaiser Bottom -Fish在线的John Kaiser说。
Environmentalists who oppose coal mining and coal energy of any kind worry that sequestration could simply trade one problem, global warming, for another one, the pollution of water supplies.
反对任何形式的煤矿和煤炭能量的环境保护主义者们担心这项深埋技术解决了全球变暖的问题，但却又带来了水资源污染的问题。
It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation.
其本身就是一个空间知识发现和挖掘的过程，实质可归结为基于GIS的油气储层评价建模问题。
Any bigger mining farm operator will tell you that quickly identifying the problem when things go wrong is the key.
任何一个大的矿池运作人都会告诉您出现故障时能迅速识别问题所在是矿池运作的关键。
So this thesis studied the feasibility that utilizes the mine water to alleviate the water problem in Fuxin mining area.
针对这种状况，本文以阜新矿区为例研究了矿井水资源化利用来缓解矿区水资源问题的可行性。
Based on the situation, the article introduces a method combining theory research, data experiment and investigating on the spot to research data mining applying problem in our commercial Banks.
根据这种现状，本文采用了理论研究、数据实验和实地调研相结合的方法来具体研究我国商业银行的数据挖掘应用问题。
This paper discusses the problem of data mining in loosely coupled distributed information systems.
讨论了松散耦合的分布式信息系统中的数据挖掘问题。
How to correctly understand the problem of deep mining with increasing the depth, it is key to resolve practical mining.
如何正确认识由于开采深度增加所带来的问题，是解决实际问题的关键。
Secondly, we study the problem of mining valid and non-Redundant association rules.
第二是研究了挖掘有效且无冗余关联规则的问题。
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。
A huge set of candidates is the main problem in mining the path traversal patterns.
大量的候选项集是挖掘路径遍历模式中的主要问题。
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become become issues.
对大型数据库进行数据开采时，数据抽取问题及数据库和开采算法的接口设计就变得十分重要。
Mining and updating maximum frequent patterns is a key problem in data mining research.
挖掘和更新最大频繁模式是多种数据挖掘应用中的关键问题。
The selection of mining method is an uncertain multi attribute decision making problem. The uncertainty of mining index can be described with interval Numbers.
采矿方案选择是一个不确定多属性决策问题，提出用区间数来描述采矿指标的不确定性。
Mining similar sequences and similar trends in time-series databases is a novel and important problem in data mining literature.
时间序列数据库中相似序列与相似趋势的挖掘，是数据挖掘领域的一个较新的重要问题。
Mining under the village , the railway and the water is a problem in mining, which is related to the safety and the economic benefit in every coal pit.
“三下”采煤的安全问题是长期以来在采矿中值得注意的问题，它关系到矿井作业的安全和经济效益问题。
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。
Mining maximum frequent patterns is a key problem in data mining research.
挖掘最大频繁模式是多种数据挖掘应用中的关键问题。
Based on the summarization of data mining research, the problem of mining inter-transactional quantitative association rules are brought forward and defined in this paper.
在归纳现有关联规则研究的基础上提出了事务间数值型关联规则的数据挖掘问题，并对该问题进行了定义。
Value composition of mining rights is the basic problem facing the mining rights market and mining rights appraisals.
矿业权的价值构成是矿业权市场和矿业权评估的基础问题。
Value composition of mining rights is the basic problem facing the mining rights market and mining rights appraisals.
矿业权的价值构成是矿业权市场和矿业权评估的基础问题。
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