查询词典 mining

Mining association rules in business transaction datahases is one of the important topic of research on data mining.

而在大规模事务数据库中，挖掘关联规则是数据挖掘领域的一个非常重要的研究课题。

The Causal Relation Data Mining is a new direction in the Data Mining research field,and it is very useful in the application.The Difficulty of modeling blocks its development.

因果关系挖掘是数据挖掘领域一个新的研究方向，具有很大的实用意义，但理论建模的困难阻碍了它的发展。20世纪90年代，在因果建模研究成果的基础上，国外开始针对此方向进行研究，目前已得到了一些理论算法。

Pretoria for the mining city for the suburbs of diamond, platinum, gold, tin, iron, chrome, coal, ore mining center.

比勒陀利亚为矿业城市，近郊为金刚石、白金、黄金、锡、铁、铬、煤等矿的开采中心。

And, a data mining model for the SMS crime which integrates searching, retrieval, interpretation, deduction, selection, classification, statistic and analysis functions will be proposed. Applying the crime detective data which produce by the data mining model, the efficiency and quality of SMS crime detective operations can be improved.

本文针对行动电话简讯犯罪的行为进行了解与剖析，且深入探讨简讯犯罪过程中所留下的犯罪资料，进而整合犯罪资料的搜寻、撷取、解译、推导、筛选、分类、统计与分析等功能，提出一套行动电话简讯犯罪资料探勘模式，以具体提升行动电话简讯犯罪侦查作业的执行效率与品质。

Xiucheng Coal Mine:Coal mining hit area is 16 sqm,coal mining reserves is 6 million tons,it is a kind of gas rich coal with 6580 c/g.and it belongs to a kind of industrial coak.

休城煤矿：矿井面积16平方公里，可采储量6432万吨，煤制裁为气肥煤，发热量为6580卡/克，属优质配焦工业煤。

A coal mining in thin seam is an inevitable issue of coal mining in many coal mines.

薄煤层开采是许多矿井煤炭开采中不可避免的问题。

The results show that the combinative method of OLAP and deep-seated mining technologies will be a trend of data mining development.

结果表明，将OLAP和数据深层挖掘技术紧密配合、协调使用将是数据挖掘发展的一个方向和趋势。

However, due to the immense data, heterostructure and multiplicity of data types, complicated data structures in databases are available in the real world, those have made association rule mining face a lot of challenges, therefore, the complete concept lattice model is introduced to the study of association rule mining in the dissertation, and some studies are made on concept lattice model, algorithms, and data reduction etc.

然而，由于现实世界数据的海量、异构和数据类型的多样性、结构的复杂性等特点，对关联规则挖掘的研究提出了新的课题。本文将具有完备特性的概念格模型引入到关联规则挖掘的研究，针对关联规则挖掘的模型、方法以及数据归约等方面开展了研究，主要内容及创新工作如下：1。

Combining with practical work,this article discussed some problems in mining right appraisal practice,including the importance of rights and interests appraisal, confidence level coefficient of mineral resource reserves,the processing of special mining equipments,mine production cost,discount rate and so on.

结合实际，对采矿权评估实践中有关权益评估的重要性、矿产资源储量可信度系数、特殊采矿设备处理、矿山开采成本、折现率等问题加以论述，并提出了解决此类问题的建议。

Data stream model is different from traditional database. It has the characteristics of rapidness, real-time, continuousness and boundlessness. Therefore, the algorithms for mining data streams have substantial difference from that of traditional database mining. They are one-pass algorithms.

数据流模型不同于传统的数据库模型，具有快速、实时、连续、无界等特点，由此决定了数据流的查询或挖掘算法与基于传统的数据库的挖掘技术有显著的区别，其算法应是单遍扫描的。

"Second Life is remarkably easy to work with, and is very popular,"

"第二次生命是显着容易的工作，并且很受欢迎，"

For example, we usually assume that materials are homogeneous and isotropic and free of internal defects or flaws.

为了得到适合有限元分析的模型，我们必须经过如图2所示的简化步骤。