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mining field相关的网络例句

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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。

Algorithm overcame the limitation that digs algorithm at present, mining flow structure while mining management handles action, strengthened process mining applicably quality.

算法克服了目前挖掘算法的限制,挖掘流程结构的同时挖掘管理操作行为,加强了过程挖掘的可适用性。

The γ algorithm overcame the limits of current mining algorithm, and it could mine management operation actions while mining the process structure, which greatly improved the applicatory of process mining.

算法克服了目前挖掘算法的限制,挖掘流程结构的同时挖掘管理操作行为,加强了过程挖掘的可适用性。

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。

After a brief account of data mining techniques including the commonly-used techniques and the review of the development of this technology, the object of data mining and the findable patterns, in this thesis we generally describe association rule data mining technology.

本文先对数据挖掘技术做了简单的总结,对它的产生进行了简要的回顾,对数据挖掘的对象、可发现的模式和常使用的技术进行了较全面的分类、归纳和总结。

Based on the basic concepts of data mining , this dissertation compares and analyses the differences of data mining and other methods such as KDD and OLAP , classifies and summarizes the objects of data mining , the findable patterns and the common techniques in detail .

在介绍数据挖掘基本概念的基础上,对数据挖掘与传统分析方法,数据库中的知识发现和联机分析处理做了深入地分析和比较,对数据挖掘的对象,可发现的模式进行了详细地分类,归纳和总结,对数据挖掘常使用的技术做了介绍和分析。

In this thesis, the writer expounds the important meaning and basic route of the exchange of mining right, the frondose criterion of the exchange of mining right and some problems that we should pay attention to during the exchange of mining right.

在文章中,笔者介绍了矿业权流转的重要意义及其基本思路,矿业权流转的具体规范,以及矿业权流转中应注意的若干问题。

This paper probes into mining mode of metalliferous deposit based on the viewpoint of industrial ecology, in the hope of improving resources efficiency, eliminating the four big hazard sources which can bring negative environment impact due to mining of metalliferous deposit, avoiding "end-treatment" engineering needed when mine are closed, keeping integrated mine's ecosystem in the process of mining metalliferous deposit.

探讨了基于工业生态学观点的金属矿床开采模式,以期提高资源效率,消除矿床开采对环境造成负面影响的4大危害源,消除矿山闭坑后的末端治理工程,使矿山在生产过程中保持矿区完整生态体系。

Association rule is an important content in data mining, efficient arithmetic is the most important part of data-mining 昺odel, especially when facing the complicated and various demands, it is necessary to propose characteristic and complementary arithmetic according to different factors. The paper analyses elaborately the idea of association rule mining arithmetic based on constraints, studies the classes of constraints in order to confirm its utility. The arithmetic aiming at united variable constraints improvement strategy and exchange of complication aggregation constraints has been designed, the practice has proved that it is effective.

关联规则是数据挖掘研究的重要内容,高效的算法是数据挖掘的重要组成部分,而且面对复杂的多方面的需求,应提供针对各种因素的各具特色的互补的多种算法,本文详尽地研究了基于约束的关联规则挖掘算法的思想,深入地研究了约束的分类、确定其可利用的性质,在此基础上提出了针对联合约束中前驱和后继重叠时的改进策略和复杂聚集约束的转换方法。

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