Absrtact: Learning structured data is an important branch of the data mining field.
摘要：对于结构化数据的学习是数据挖掘领域一个重要的分支。
Additionally, machine learning methods are also applied to massive-sample data mining field.
除此之外，机器学习的理论方法还被用于大数据集的数据挖掘领域。
With the increase of Web information, Web data mining has been the focus of data mining field.
随着互联网信息的增长，网络信息挖掘已经成为数据挖掘领域研究热点之一。
Analyse and discuss the familiar mathematics methods in data mining field and apply them to practice.
对数据挖掘中常见的几类其他数学方法进行了分析探讨，并且将这些方法应用于实际中。
As an important method in the data mining field, clustering analysis has become a popular research subject in this field.
聚类分析作为数据挖掘技术中的一种重要方法，已成为该研究领域中一个非常活跃的研究课题。
Early middle Cambrian rhyolites from Baiyin Mining Field were considered to have resulted from magmatism of continental rift.
白银厂矿田早—中寒武世流纹岩被认为是大陆裂谷环境或洋内弧岩浆作用的产物。
Analysis and calculation are illustrated by the specific example of ground surface movement at the west Shangqing mining field.
以板石沟铁矿上青矿区西端岩移问题为例进行了分析计算。
Zhengzhuang mining Field is a newly-built mine and the mining of its lower coal seams is subjected to the threat of underground water.
成庄井田为新建矿井，下部煤层开采受地下水的威胁。
Association Rules mining, as an important research subject of data mining field, which plays an important role in many practical applications.
关联规则挖掘作为数据挖掘领域的一个重要研究课题，它在许多实际应用中都发挥着重要作用。
With occurrences of many related applications, recently frequent episodes mining in event stream has become a hot research topic in data mining field.
在事件流上挖掘频繁片断已经成为近来研究的热点，在很多应用中起到重要作用。
In this paper, the present research level of visualization and virtualized reality are summarized, and the application prospect in mining field is forecasted.
本文对可视化和虚拟现实技术的研究现状进行了综述，对其在矿业领域的应用前景进行了展望。
Provided that, roof structure 's stability analysis of ShenDong Mining Field is built on the static relation, there will be much different from the engineer practice.
若将神东矿区顶板结构的稳定性分析建立在“静态”关系基础上，这与其工程实践有较大出入。
Classification is an important task in data mining field, how to discover the intelligible and interesting classification rules is one of the main problems facing data mining.
分类是数据挖掘的一项重要任务，如何发现可理解的、令人感兴趣的分类规则是数据挖掘面临的一个主要问题。
A method of dynamic safety assessment of coal mining field is introduced. The method comprehensively evaluates various risk factors and could conclude comprehensive safety status.
介绍了一种适用于煤矿生产现场的动态安全评价方法。该方法对影响安全生产的诸多因素进行综合评价，得出综合的安全性结论。
System in mining field pressure-blasting machine site, widely used in grinding anterior process, it can produce a lot of powder grinding, reduce the high cost of grinding the load.
制砂机现场在矿业领域，广泛地应用于磨矿前段工艺，它能产生大量的粉矿，减少高成本的磨矿负荷。
Applying rough theory in data mining field can improve the analyzing and learning ability for incomplete data of large database, which has extensive applied prospect and applied value.
将粗糙集应用于数据挖掘领域，能提高对大型数据库中的不完整数据进行分析和学习的能力，具有广泛的应用前景和实用价值。
This article describes the actuality of the data-mining and analysis, and points out some problems that appear in the data-mining field through a space data-mining and analysis project.
本文报告了数据挖掘分析的现状，通过一个现实的航天数据挖掘分析的项目构架提出当今数据挖掘领域所普遍存在并没有被注意到的一些问题。
Clustering analysis is an important tool of Data Mining, and applied in many different application fields. Now, Clustering analysis has become an important research subject in Data Mining field.
聚类分析作为主要的数据挖掘工具已经被应用在许多领域，成为数据挖掘领域研究的一项重要课题。
Finally, I want to reiterate that this article and the ones in the future parts of this series only are a brief introduction to the field of statistics and data mining.
最后，我再重申一下，本文及本系列的后续文章只是对数据统计和数据挖掘领域做了最简单的介绍。
The field is closely related to data mining and often USES techniques from statistics, probability theory, pattern recognition, and a host of other areas.
此领域与数据挖掘密切相关，并且经常需要使用各种技巧，包括统计学、概率论和模式识别等。
Data mining is a multidisciplinary field with many techniques.
数据挖掘是包含许多技术的多学科领域。
Ethnographic field studies, focus groups, diary studies, surveys, data mining or analytics.
人种学现场研究，焦点小组，日记研究，调查问卷，数据发掘和分析。
This article strives to answer the question "what is data mining?" by giving you a background on the subject and introducing the goals of the field.
本文通过向您介绍数据挖掘这个主题的背景以及这个领域的目标力求回答“什么是数据挖掘”这个问题。
How to put the technology of Data Mining into the field of retail industry is the key of this thesis.
如何将数据挖掘技术应用在零售业领域正是本文研究的重点问题。
At present, outlier mining has attached a great importance in the field of time series analysis.
目前，在时间序列分析领域，孤立点的挖掘越来越多的受到重视。
In the data mining or machine learning field, a data preprocessing procedure is often needed to eliminate errors, noises, in-consistent data or missing data that are contained in the dataset.
在数据挖掘以及机器学习等领域，都需要涉及一个数据预处理过程，以消除数据中所包含的错误、噪声、不一致数据或缺失值。
In this paper, after making a analysis of the relate field of data mining and its basic questions, we provide a new method for knowledge discovery.
本文分析了数据挖掘技术的相关领域及其基本问题，为知识获取提供了一种新方法。
We put forward data mining procedure and its application field among CRM after describing the conception and frame of CRM and various data mining technologies.
在了解CRM的概念和框架、数据挖掘的各种技术后，还必须了解数据挖掘在CRM中的应用流程和应用的业务领域。
An improved sequential pattern mining algorithm is proposed, which is based on sliding time window and can discover general earthquake sequences according to field knowledge.
结合地震预报的领域知识，面向具体的应用，提出了一种改进的基于滑动时间窗口的序贯模式挖掘算法，用来发现广义的地震序列。
An improved sequential pattern mining algorithm is proposed, which is based on sliding time window and can discover general earthquake sequences according to field knowledge.
结合地震预报的领域知识，面向具体的应用，提出了一种改进的基于滑动时间窗口的序贯模式挖掘算法，用来发现广义的地震序列。
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