Based on the theoretical research of data mining technology, the application of data mining technology in the talents cognition system was stated in this paper.
本文在对数据挖掘技术的理论研究基础上，描述了该技术在人才认知系统中的应用。
Data warehouse and data mining technology is one hot problems of information technology research at present.
数据仓库和数据挖掘技术是目前信息技术研究的热点问题之一。
Data mining technology can help us discover useful schema from great capacity of data, and has become a new hotspot in database research field.
数据挖掘技术，可以帮助我们从海量数据中发现有用的模式，已经成为数据库研究的一个新的热点。
From the end of last century, with the Data Mining technology maturing gradually, the research on applying Data Mining technology into fraud detection becomes one important research field.
从上世纪末开始，随着数据挖掘技术的逐渐成熟，在欺诈识别中应用数据挖掘技术的研究成为一个重要研究领域。
The Bayesian classification technology in Data mining was discussed, and the research was emphasized on the basic principle and the work procedure of the Naive Bayesian classification technology.
对数据挖掘中的贝叶斯分类技术进行了讨论，重点分析了朴素贝叶斯分类技术的基本原理和工作过程。
Data streams are continuous, fast, unlimited, unknown, so traditional technology of data mining is not suitable to data stream mining. Analysis and mining data stream has been a popular research.
数据流的连续、快速、无限、未知的特点决定了传统的数据挖掘技术已经不适合数据流挖掘，分析和挖掘数据流已经成为热点研究问题。
The paper's main tasks are as follows:(1) Some research was developed which was about the theory and technology of DSS, data warehouse (DW), Online Analytical Processing ( OLAP ) , data mining(DM).
论文的主要工作如下：（1）对决策支持系统、数据仓库、联机处理分析OLAP、数据挖掘相关理论和技术进行了研究。
The paper finally summarize the research, propose outlook of domestic security customer classification and loyalty research based on data mining technology.
文章最后对课题的研究进行总结，并且对基于数据挖掘的我国证券业客户分类及忠诚度研究的前景做出展望。
Data mining is the research emphasis in the field of data warehouse and clustering analysis. It is an important technology of data mining.
数据挖掘是数据仓库领域的—个研究重点，聚类分析又是数据挖掘中的一项重要技术。
Based on the research of the previous data mining technology and the system structure design, the mining of the historical date has been started.
在以上数据挖掘技术的研究和系统结构设计的基础上，开始对历史数据进行挖掘。
With an explosive increase in global information, data mining technique has been a focus of the new century computer science and technology research.
随着全球信息量的爆炸式的增长，数据挖掘技术已成为新世纪计算机科学技术的研究热点。
This article first introduces the data mining technology in all sectors in the application of data mining technology research led to the status, trends and the existing problems.
本文首先通过介绍数据挖掘技术在各行业中的相关应用，总结出数据挖掘技术的研究现状、趋势和所存在的问题。
The experimental result reveals that data mining technology is very useful in research of drug efficacy, and it has a nice guiding role in clinical pharmacies research.
实验结果表明数据挖掘技术在药品疗效研究方面应用十分有利，对临床药品研究具有良好的指导作用。
In this thesis, we use the qualitative and quantitative analysis method, combine theory with practice in data mining technology in the book of retail enterprises management application research.
本文通过定性和定量分析相结合，理论和实际研究相结合以及多学科理论相融合的方法，对数据挖掘技术在图书零售企业的客户管理进行了应用研究。
Based on web mining technology, automatic text classification has become a hot research area in the field of data mining and net mining.
文本数据分类以文本挖掘技术为基础与核心，是近年来数据挖掘和网络挖掘领域当中的一个研究热点。
This thesis mainly did some research of data warehouse and data mining technology in the telecommunications industry and its business analysis application of the theory and practical 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。
This thesis mainly did some research of data warehouse and data mining technology in the telecommunications industry and its business analysis application of the theory and practical 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。
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