Based on above analysis, this paper integrates the study of data mining and financial time series.
基于上述原因，本文将数据挖掘和金融时间序列结合在一起进行研究。
With the deep study of data mining technology, it becomes maturing, and is widely used in various areas.
随着人们研究的深入，数据挖掘技术已经日益成熟，并广泛应用于各行各业。
Rough set, with its ability in dealing with uncertainty and vagueness, is widely applied in the study of data mining.
粗糙集理论以其出色的处理模糊和不确定知识的能力，成为数据挖掘研究中的有力工具。
Mining association rules is an important aspect of the study of data mining, and one of the important problems is the evaluation of interestingness of the discovered rules.
关联规则挖掘是数据挖掘研究中的一个重要方面，而其中一个重要问题是对挖掘出的规则的兴趣度的评估。
The FDA study is an example of the increasing use of an investigative method called data mining.
FDA的研究是数据挖掘研究方法应用越来越广的例子。
Customer clustering analysis in customer relation management (CRM) is a new study domain, and it is part of data mining.
客户关系管理(CRM)中的客户聚类分析是一个新的研究领域，属于数据挖掘的应用范畴。
Spatial clustering analysis is important method and study content of spatial analysis and spatial data mining.
空间聚类是空间分析和空间数据挖掘的重要方法和研究内容。
Clustering is an active study subject in Data Mining. There are many algorithms of clustering that were applied in every field.
聚类分析是数据挖掘领域中一个非常活跃的研究课题，应用于各个领域的聚类算法非常多。
Recently the study on data mining of time series mainly concentrates on both the similarity search in a time series database and the pattern mining from a time series.
时间序列存在于社会的各个领域，对于时间序列数据挖掘的研究目前主要集中在相似性搜索和模式挖掘上。
Aimed at some application problems of data mining in telecom CRM, the thesis takes the study with the methods of theoretical analysis and empirical research.
本文运用理论分析与实证研究相结合的方法，针对数据挖掘在电信CRM中的若干个具体应用问题进行研究。
This paper places great emphasis on the study of the spatial data mining methods and their integration with GIS.
本文重点对空间数据挖掘算法及其与GIS的集成进行了研究。
Data mining, a new branch of study emerged recently, concentrates primarily on how to identify useful knowledge from massive data.
数据挖掘技术是一门近年来新兴的学科，它主要研究如何从大量数据中发掘出有用的知识。
The main research of this text is to study data warehouse and data mining, and how to application.
本文主要研究数据仓库、数据挖掘等技术在电信行业经营分析中应用的相关理论和实际应用。
It is a hotspot that the data mining of time serial model, classify rule, association rule in the data mining study currently.
时间序列模式、分类规则和关联规则挖掘是当前数据挖掘研究中一个热点。
Data Mining share a wide range of potential commercial applications, knowledge management and knowledge discovery in the study of a promising new areas of application.
数据挖掘有着广泛的商业应用潜能，是知识发现与知识管理研究中的一个很有应用价值的新领域。
For multi-relational data mining, how mining more efficiently and how improving the scalability of the algorithm, has been the focus of our study.
对于多关系的数据挖掘研究，如何高效地挖掘以及如何提高算法的可扩展性，一直是大家研究的重点。
This paper discusses the design and realizing process of the system. Makes a more in-depth study on data mining technology and the Smart Client offline application technology.
本文论述了系统的设计和实现过程，对数据挖掘技术和智能客户端离线应用技术等关键技术作了较为深入的研究。
Aim To study the application of decision tree algorithm for medical image data mining.
目的研究决策树算法在医学图像数据挖掘中的应用。
To study the application of fuzzy cluster analysis for medical image data mining.
研究模糊聚类分析在医学图像数据挖掘中的应用。
With the rapidly development of the text data, text mining have been an important study direction in data mining area.
随着文本数据的迅速增长，文本挖掘已经成为了数据挖掘领域的一个重要的研究方向。
This article focused on some common problems in publishing industry, and brings in data mining technology, theory study of in depth and specific practice on data mining has been conducted.
本文针对目前出版行业面临的问题，将数据挖掘技术引入到图书出版行业中，并进行了深入的理论研究和具体的挖掘实践。
This study depicts the overview of the crossing field of data mining and bioinformatics. It is helpful for combining the bioinformatics with data mining.
本研究描绘了生物信息学与数据挖掘这一交叉领域的研究概况，为后续数据挖掘方法与生物信息学研究相结合提供帮助。
This paper also discusses the significance, the main problems and the foreground about the study of Fuzzy Cognitive Maps based on AFS theory and its application on data mining.
还介绍了基于AFS理论的模糊认知图的意义、需要解决的主要问题以及应用前景。
Mining the hidden knowledge in the spatial data of Geographic Information System (GIS) is an important direction in the study fields of GIS and data mining.
挖掘隐藏在地理信息系统(GIS)的空间数据中的知识是GIS研究领域和数据挖掘领域的重要方向。
Study and application of text data mining is one of the most important problems in the data mining. In this paper, we firstly study a method of text data mining.
挖掘的理论和应用研究是数据挖掘领域一个新的重要分支，介绍了一种文本数据挖掘方法。
To integrate the results of clustering data mining and based on visual model requirement, network structure diagram of HQDS would be drawn, gene network structure be study with RT-PCR.
结合挖掘结果，运用网络结构可视化思想构建心气虚证网络结构图，并运用逆转录聚合酶链反应(RT - PCR)探索心气虚证基因网络结构。
With data mining method, the authors made a study on the regularities of drug use in the four-drug decoction and the like for dysmenorrhea.
用关联规则的数据挖掘方法探讨了古今医家用四物汤类方治疗痛经的用药规则，通过比较其置信度，确定古今医家在用药规律上无显著差别。
With data mining method, the authors made a study on the regularities of drug use in the four-drug decoction and the like for dysmenorrhea.
用关联规则的数据挖掘方法探讨了古今医家用四物汤类方治疗痛经的用药规则，通过比较其置信度，确定古今医家在用药规律上无显著差别。
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