查询词典 data mining

Market basket analysis is one of the typical applications in mining association rules. It can find out the relationship of items form a large amount of transaction data, and can help marketing analysts to learn the purchasing behaviors of customers. The valuable information discovered from data mining could be used to support decision making such as marketing promotions, shelf space management, bundle selling, cross-selling, etc.

在关联分析的应用领域，最典型的例子为购物篮分析，透过购物篮分析可以找出顾客交易行为中商品品项之关联性，以帮助决策者了解顾客的购买习性，进而将此资讯应用在市场行销、货架摆设、产品组合销售与交叉销售之决策依据。

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。

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。

The policy decisions were worked out on the basis of the digital elevation model, analysis of space, use of space database technology and theory of policy decision system, preserved space data of subsidence area of mining district and data experience of land reclamation, so as to acquire the rational land reclamation plans of the mining district and to provide information for environment evaluation.

从矿区塌陷坑的数字高程模型入手，通过空间分析，利用空间数据库技术和决策系统理论，保存矿区塌陷坑空间数据和土地复垦经验数据来进行决策，以期取得科学合理的矿区土地复垦方案，并且可为环境评价提供信息。

In order to make good use of the advanced technology of data mining, two kinds of classifiers (C4.5 decision tree and support vector machine, SVM) from data mining are improved.

3为了有效地利用数据挖掘的先进技术，对数据挖掘中两种分类方法C4.5决策树以及SVM进行了改进。

That is to say, there appears a new direction in data mining field: visual data mining.

因此，数据挖掘领域中产生了一个新的方向：可视化数据挖掘。

The article first discusses the related concepts and basic method of data mining. The task of data mining is to find mode from database. The mode can be many , we can dispart two according to function: predictive mode and descriptive mode.

文章首先论述了数据挖掘的相关概念以及数据挖掘的基本方法，数据挖掘的任务是从数据集中发现模式，模式可以有很多种，按功能可分为两大类：预测型模式和描述型模式。

Mining concept drifts from data streams is one of the most important fields in data mining.

摘要数据流中概念漂移的检测是当前数据挖掘领域的重要研究分支，近年来得到了广泛的关注。

Outlier data mining is an important embranchment in data mining research.

离群数据挖掘是数据挖掘研究的一个重要分支。

The main idea of this dissertation is as following sequence: disturbance signal denoising, transient harmonic measurement, disturbance online detection, and PQD data classification mining. Utilizing wavelet theory, Teager energy operator, and data mining technology, this dissertation presents a comprehensive and systematic study of PQD online detection and classification.

本文针对这两个核心问题，沿着"扰动信号去噪暂态谐波测量扰动在线检测扰动数据分类挖掘"这一技术主线，运用小波理论、Teager能量算子和数据挖掘技术，对电能质量扰动信号去噪、暂态谐波测量、扰动在线检测以及扰动数据分类挖掘进行了系统研究。

Don not attempt to do something which you can not to do.

不要企图做那些办不到的事情。

The expression of CTGF and TNF-αweredetected by immunochemistry and the number of Clara Cells was calculated.

光镜下观察肺组织的病理变化，采用免疫组化染色观察肺组织中结缔组织生长因子和肿瘤坏死因子-α的表达和Clara细胞的数量。