Data Mining

Data Mining

美 　英

• n.数据挖掘
• 网络资料探勘；资料挖掘；资料采矿

英汉双解

英汉解释

na.	1. 【计】数据挖掘

英英解释

n.	1. the process of searching a database using special software in order to find out information, for example what type of people buy a productIt is often used by companies as a way of trying to increase sales.

例句

Data mining revolves around the data and, of course, all the algorithms that we've learned about have revolved around the data.

数据挖掘围绕此数据进行，当然所有我们已经学习过的这些算法也都是围绕此数据的。

Data Mining provides people with a new approach to understand data. The association rule is an important pattern in data mining.

数据挖掘给人们提供了一种新的认识数据、理解数据的智能手段，关联规则是数据挖掘的一种重要模式。

Cluster analysis is one of the means of multivate analysis and is widely used in pattern recognition, data mining and decision analysis etc.

聚类分析是多元统计分析的方法之一，广泛的应用在模式识别，数据挖掘和决策分析等领域。

So unless you plan to make a career out of data mining, the "good enough" is likely all that you need.

所以除非您立志以数据挖掘为职业方向，否则“足够好”就可以了。

The company uses a form of data mining to group Web pages by content, which makes the search engine more efficient, he said.

他还提到公司使用一种数据挖掘技术来根据内容对网页进行归类，这样一来搜索引擎会更有效率。

Buying trends shown through web data mining can help you to make forecast on your inventories as well.

购买Web数据挖掘得出的趋势显示可以帮助你对库存做出预测。

Before this data mining software came into being, different businesses used to collect information from recorded data sources.

在数据挖掘软件出现前，不同的商业从记录数据源中收集信息。

Additionally, the term data mining is all-encompassing, referring to dozens of techniques and procedures used to examine and transform data.

此外，术语数据挖掘是全方位的，可指代诸多查看和转换数据的技术和过程。

If you do this, you will not be able to limit the data sources to which data mining model users can query.

如果执行此操作，将无法限制数据挖掘模型用户可以查询的数据源。

The environment includes data mining algorithms and tools that make it easy to build a comprehensive solution for a variety of projects.

该环境包括数据挖掘算法和工具，使用这些算法和工具更易于生成用于各种项目的综合解决方案。

CRM knowledge manage is an advanced manage idea in modern management, which combined data mining and intelligence analyses into a body.

CRM知识管理是现代管理的一种先进管理思想，集数据挖掘技术和智能分析为一体。

At least one area of experience or knowledge in search, natural language processing, data mining, machine learning, distributed computing.

有搜索、自然语言处理、数据挖掘、机器学习、分布式计算等其中至少一个领域的经验或者知识；

Association rules are one of the techniques used in data mining, and particularly useful with e-commerce transactional information.

关联规则是在数据挖掘中所使用的一种技术，并对电子商务事务信息非常有用。

This article will introduce some of these efforts, the interoperable cancer data-mining resources and repositories, from a user-perspective.

这篇文章将从一个用户的观点，介绍一些这些努力，互操作的癌症数据挖掘资源和资料库。

Classification is a very important task in Data mining. Decision tree is one of the common classification algorithms.

分类在数据挖掘中是一项非常重要的任务，决策树方法是一种常用的方法。

All data mining functions are invoked just as usual SQL commands, as you will see below.

所有数据挖掘函数都是作为常规的SQL命令来调用的，后面您将看到这一点。

The data mining model object is structured like an SQL table, with columns, data types, and meta information that describe the model.

数据挖掘模型对象的结构与SQL表类似，包含用于说明模型的列、数据类型和元信息。

The record-breaking MapReduce approach, he said, is useful in physics, cryptography and data mining.

他还介绍说，破记录的MapReduce方法在物理学，密码学和数据挖掘领域也是很有用的。

Data mining is one of the most advanced research directions of intelligent information processing and decision support analysis nowadays.

数据挖掘是近年来国际上智能信息处理和决策支持分析领域的最前沿的研究方向之一。

It must be the research background of good data warehouse, data mining, semantic web, artificial intelligence direction.

具有良好的数据仓库、数据挖掘、语义网、人工智能等方向的研究背景。

This paper introduces concept of data mining, and presents two methods of data mining: supervised learning and unsupervised learning.

本文讲述了什么是数据挖掘，以及数据挖掘的两种策略：有指导和无指导学习。

We see that some well-known associations in real life can be detected by data mining the co-mention data in the IMDB trivia documents.

可以看到，通过对IMDB传记文档中的共同提及数据进行数据挖掘，找到了现实生活中一些著名的关联。

For more information about this transformation, see Data Mining Query Transformation.

有关此转换的详细信息，请参阅数据挖掘查询转换。

Data mining strives to turn a lot of misinformation (in the form of scattered data) into useful information by creating models and rules.

数据挖掘就是通过创建模型和规则来将大量的不可用信息（通常是分散的数据形式）变成有用的信息。

Retailers, offline as well as online, are masters of data mining (or "business intelligence" , as it is now known).

零售商，无论是在网络上还是不在网络上的，都是处理数据的专家（或者，称为周所周知的商业智能）。

Historically, data mining has been a task that could only be accomplished by experts in statistics and data analysis.

在过去，数据挖掘一直是统计和数据分析专家的任务。

The paper applies the data mining technology to the bank customer churn well in the forecast, has obtained the good effect.

论文将数据挖掘技术较好地应用到银行客户流失预测中，取得了良好的效果。

Data mining software is one of a number of analytical tools for analyzing data.

数据挖掘软件是分析数据的分析工具之一。

Classification, particular Multi-classification problem has been a hot topic in data mining.

分类问题尤其是多类分类问题一直是数据挖掘研究的热点问题。

Association rule, as an important branch of data mining, mainly digs out the relevance among the data items.

数据挖掘的一个重要分支—关联规则挖掘，主要用于发现数据集中项之间的相关联系。

This article wraps up the three-article series introducing you to the concepts of data mining and especially to the WEKA software.

本文是由三篇文章组成的系列文章的终结篇，该系列向您介绍了数据挖掘的概念尤其是WEKA软件。

Evaluation for the result of data mining is an important phase in KDD(Knowledge Discover in Database).

在数据库知识发现中，数据挖掘结果的解释与评估是一个重要的环节。

As I said in Part 1, data mining is about applying the right model to your data.

正如我在第1部分中所说的，数据挖掘的核心就是将正确的模型应用于数据。

Data Mining (DM) technology came into being with the challenge of "rich data without knowledge" .

面对“数据丰富而知识匮乏”的挑战，数据挖掘技术应运而生。

Classification is one of the most basic tasks during the biological statistics and data mining.

在生物统计以及数据挖掘中，分类预测是最基本的任务之一。

Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.

数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。

Bayesian network classifier is one of the main research methods in data mining and KDD domain.

贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。

Frequency method and Bayesian method are the two main data mining algorithms used in pharmacovigilance nowadays.

目前各国普遍使用的数据挖掘方法主要有频数法与贝叶斯法。

So, with the result of achieving the purpose of precision marketing, we must apply data mining to analyze the purchasing power of consumers.

为此应用数据挖掘相关技术对消费者的购买行为进行分析，以达到精准营销的。

This example could quite easily be turned into something more useful, as you have the core for a basic search engine or data mining tool.

可以很容易地将这个示例推广到一些更有价值的应用场景，因为您掌握了基本搜索引擎或者数据挖掘工具的核心内容。