查询词典 data mining

Using ontology and context knowledge in data mining is one of the effective waies to improve data mining accurateness,which can add general knowledge and certain knowledge in decision factors. How to apply ontology and context knowledge in data mining is discussed in this paper.

在数据挖掘中使用本体和上下文知识能够将普遍的知识和特定的知识引入数据挖掘的决策因素中，是增进数据挖掘准确性的有效手段，同时也是数据挖掘领域研究的热点和难点之一。

During the study of the subject, I have an all-around understanding about the theory and application of Data Mining through reading bookmaking and papers in this field.Based on the research on algorithms, we realized one example following the workflow of Data Mining, which helps us understand the application of the technology.KEYWORDS: data mining , association rule , apriori algorithm

在课题的研究过程中，我通过阅读大量国内外著作、论文，对数据挖掘技术的理论和应用有了一个较为全面的了解，在理论上对关联规则的挖掘算法进行了深入的研究，对于数据挖掘的应用通过实现具体的实例进行研究，并且对挖掘结果进行评价，从而对数据挖掘的应用步骤有了更加深刻的理解。

By analyzing transplant and reuse of data mining platform,an opening development platform for data mining was designed and set up,which was based on CWM and used PMML to describe data mining Model.

在对现有数据挖掘平台移植和复用等方面的需求分析的基础上，提出并建立了以公共数据元模型为基础，用预言模型标记语言描述挖掘模型的数据挖掘开放式开发平台，详细论述了该平台逻辑框架、组成模块的功能接口以及平台的执行过程等。

The main contents are listed as follows: Analyse and research of the data mining technique. the dissertation summarizes,analyses and studies the current status of the data mining technique in our native country and overseas widely and roundly research . The definiens and orientation of the data mining is reviewed in brief first.

对数据挖掘技术的国内外研究现状进行了广泛而全面地归纳、分析和研究，对数据挖掘的定义及定位进行了简要的回顾，在数据挖掘基本概念的基础上，对数据挖掘常使用的技术和研究的对象进行了详细地分类、归纳和总结。

The dissertationsummarizes,analyses and studies the current status of the data mining technique inour native country and overseas widely and roundly and then summarizes anddiscusses its developmental trends and hot research fields. The definiens andorientation of the data mining is reviewed in brief first. Based on the basic conceptsof data mining,this dissertation classifies and summarizes the objects of data miningand the common techniques in detail.

对数据挖掘技术的国内外研究现状进行了广泛而全面地归纳、分析和研究，对数据挖掘技术的未来发展趋势和热点研究领域进行了总结和探讨，对数据挖掘的定义及定位进行了简要的回顾，在数据挖掘基本概念的基础上，对数据挖掘常使用的技术和研究的对象进行了详细地分类、归纳和总结。

Seriously study the relevant knowledge of data mining, data mining algorithms and analysis of how data mining,and based on the open source software Weka data entry, classification, clustering, association, meta-learning programs and attributes,Examples filter algorithms for analysis, and the second on how to use the Weka done for the development of an in-depth and meticulous research.

在深入学习Struts开发框架，分析模型-视图-控制器（Model-View-Controller，MVC）设计模式，Struts的类库结构及Tag库以及输入验证及错误处理机制的基础上，充分利用Struts的优点，扬长避短，不仅大大提高了生产效率，而且明晰了系统结构，为系统进一步扩展提供了良好的前提条件。

It analyzes and researches the data pretreatment in Web log mining, the data pretreatment technology of the Web log data Mining being analysis and implementation,that is Pre-work of data mining in associational rules and clustering algorithm.

分析研究传统的数据预处理过程，在Web日志的数据结构挖掘中的数据预处理技术进行了分析与实现，是实现关联规则与聚类数据挖掘的前期工作。

Sixthly, it also introduces knowledge management technology to resolve the analysis of custom checking center operating flow, innovation research of Customs Business and consumer relationship management. It is a long-term worthy project to continue this study on the establishment of custom risk management by data mining. There are still many further works to do, such as more effective optimizing arithmetic, text data mining, super-huge data warehouse based on UNIX and Oracle, data mining application on web, building and application of cosmical database, custom knowledge management system, and so on.

基于数据挖掘的海关风险管理体系建设，是一个长期的、内容广泛的、需要进一步深入研究的庞大课题，本人希望在很多方面继续进行研究，例如：在海关引入效率更高的数据挖掘优化算法，探讨基于海关文档资料的文本数据挖掘，探讨基于Web的数据挖掘技术在海关的应用，探讨基于UNIX和Oracle基础之上的超大规模数据仓库建设和应用，探索建立基于数据挖掘的海关知识管理体系等。

The association rules of the traditional data mining technique are used to mining higher appearance frequency and support for itemsets. If the association rules are applied to mining the outbreak symptom of excrescent disease, the support of partly outbreak symptom not high will be ridded during the mining process. The reason is that the number of excrescent disease patients is less than the number of ordinary patients. In addition, the outbreak symptom of excrescent disease may have the successively order of time happened, for example, symptom B will just take place sometime of interval later after symptom A. The data mining techniques that generally direct against the higher appearance frequency itemsets and only consider the single dimensional sequential pattern cannot totally search the pattern of outbreak symptom of excrescent disease, and cannot also provide related reference information to prescribe medicine for nursing staff at that time.

由於传统资料探勘技术中之关联规则是用来针对资料集合中出现频率较高亦是支持度高之项目集合进行探勘，若是应用於异常疾病发病徵状样式之探勘，由於异常疾病病患人数不及於普通疾病病患人数之缘故，因而造成部份发病徵状之支持度不高，将会在探勘过程中被去除，另外这类异常疾病之发病徵状可能会有先后发生时间之顺序，例如症状A发生后间隔一段时间后才会发生症状B，所以一般针对高频项目集合且只考虑到单一顺序维度之资料探勘技术，并无法完全找寻出这类异常疾病发病徵状之样式，也就无法在第一时间内提供医护人员对症下药之相关参考资讯。

This article expound data minings definition、character、function,and introduce tools of data mining,and discuss methods of data mining and relation between data mining and knowledge finding.

本文阐述了数据采掘的定义、特点、类型、功能、发现的知识类型及其发展趋势，介绍了数据采掘的工具，探讨了数据采掘的各种方法以及数据采掘与知识发现的关系等问题。

With Death guitarist Schuldiner adopting vocal duties, the band made a major impact on the scene.

随着死亡的吉他手Schuldiner接受主唱的职务，乐队在现实中树立了重要的影响。

But he could still end up breakfasting on Swiss-government issue muesli because all six are accused of nicking around 45 million pounds they should have paid to FIFA.

不过他最后仍有可能沦为瑞士政府&议事餐桌&上的一道早餐，因为这所有六个人都被指控把本应支付给国际足联的大约4500万英镑骗了个精光。