查询词典 mining claim

The paper makes an analysis on the main influence factors to mining subsidence in strip mining as well as the stability and function mechanism of backfill body in backfilling mining .

文中对充填采矿条件下的充填体的稳定性和作用机理进行了分析，并对条带开采条件下地表沉陷的主要影响因素进行了探讨。

I urge you to read this supplement, in which we provide a review of exploration and mining opportunities (especially for gold, tantalite, coal, bitumen, lead and zinc), and a summary of the legal and fiscal regimes for mining, plus other general information, including contact details, which we hope will persuade you to shift your search for minerals to Nigeria - an exciting new mining destination.

更为重要的是，尼口利亚经济领域的改革得到了全球的认可，从而大大降低了我们的债务。尼日利亚也因此又成为了一个具有吸引力的投资目的地。也就在我们的透明化和反腐败措施取得进展的同时，尼政府进一步深入经济改革的使命也得到了更多的推行。国际透明化和世界经济论坛以及世界银行的全球竞争力报告，最近都表扬尼日利亚在这些重要领域取得巨大进展。

Coal-bearing seams in Shenyu mine area inclines northwest, the bedrock thickness on the coal seams increases northwest, and there are generally red soil water-resisting layer on the bedrock. To study on the coal-water friendly geological conditions for the water-resisting layer during the coal mining process, and to determine mining zones without causing obvious water table decline are an important approach to the water-conserving mining in the fragile ecological mine area of North Shaanxi.

榆神矿区含煤地层整体向北西倾斜，煤层上覆基岩厚度向北西方向增大，基岩之上普遍分布有红土隔水层，深入研究煤炭开采过程中不对含水层造成破坏的煤水共生地质条件，确定既可采煤、又可实现水位不明显下降的区域，是陕北生态脆弱矿区保水开采的重要途径。

This paper is based on data mining technology,use weka as a library data mining software tool,use weka's j48 tree algorithm and data association analysis library data.mining useful data which user needs from the mass library data and get reasonable results.ultimately to improve work efficiency and scientific management.

该文以数据挖掘技术为基础，利用weka软件作为图书馆数据挖掘工具，通过weka里的j48树算法和数据关联等算法，对图书馆的馆藏数据进行相应的分析，从海量数据中挖掘出用户需要的有用数据，并得到合理的统计结果。最终达到提高工作效率，能够科学管理的目的。

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。

Warden: That's a beautiful dog, but don't bring her again.

那是条漂亮的狗，但是不要再把她带来了。

You get up in the morning – no hangover!

你第二天早上起来的时候—不会宿醉！