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 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。
Clustering analysis is a major field in data mining, which is an important method of data partition.
聚类分析是数据挖掘中的一个重要研究领域，是一种数据划分或分组处理的重要手段和方法。
Data Mining is one of the international advanced directions in the field of database and information decision.
数据挖掘是目前国际上数据库和信息决策领域的最前沿研究方向之一。
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。
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。
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。
So, knowledge discovery and data mining are proposed with a new study field developed.
因此，知识发现和数据挖掘应运而生，成为一个新的研究领域。
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。
Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.
然后总结了近年来蚁群算法在组合优化、数据挖掘等领域的应用进展；
Environmental performance audit is a hot topic in auditing field, and mining city restructure is an important subject in industry economics.
环境绩效审计是目前审计领域谈论的热点问题，矿业城市转型也是产业经济学的重要研究课题。
News video mining is a rising field that is the sub field of multimedia data mining.
新闻视频挖掘是一个新兴的研究领域，也是多媒体数据挖掘的典型代表。
Introduces the data mining technology into telecom fraud detection field, present a model of telecom fraud detection based on data mining.
将数据挖掘技术具体应用到电信欺诈侦测领域中，提出了一种基于数据挖掘的电信欺诈侦测模型。
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。
This paper gives a general introduction to data mining and the characteristics of TCM data mining and the current application of data mining in the field of TCM research.
本文概括地介绍了数据挖掘的概念，中医药数据挖掘的特点，以及常见的数据挖掘方法在中医药领域的应用现状。
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。
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。
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。
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。
The second part of this dissertation mainly focuses on the thermal engineering process operation optimization and some applications of the data mining technology in this field.
文章第二部分的研究内容主要集中在热工过程运行优化以及数据信息采掘技术在这一领域内的一些实际应用。
The second part of this dissertation mainly focuses on the thermal engineering process operation optimization and some applications of the data mining technology in this field.
文章第二部分的研究内容主要集中在热工过程运行优化以及数据信息采掘技术在这一领域内的一些实际应用。
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