Data Mining

美 　英

• n.數(shù)據(jù)挖掘
• 網(wǎng)絡(luò)資料探勘；資料挖掘；資料采礦

英漢雙解

英漢解釋

na.	1. 【計(jì)】數(shù)據(jù)挖掘

英英解釋

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.

數(shù)據(jù)挖掘圍繞此數(shù)據(jù)進(jìn)行，當(dāng)然所有我們已經(jīng)學(xué)習(xí)過的這些算法也都是圍繞此數(shù)據(jù)的。

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

數(shù)據(jù)挖掘給人們提供了一種新的認(rèn)識(shí)數(shù)據(jù)、理解數(shù)據(jù)的智能手段，關(guān)聯(lián)規(guī)則是數(shù)據(jù)挖掘的一種重要模式。

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

聚類分析是多元統(tǒng)計(jì)分析的方法之一，廣泛的應(yīng)用在模式識(shí)別，數(shù)據(jù)挖掘和決策分析等領(lǐng)域。

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

所以除非您立志以數(shù)據(jù)挖掘為職業(yè)方向，否則“足夠好”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.

他還提到公司使用一種數(shù)據(jù)挖掘技術(shù)來根據(jù)內(nèi)容對(duì)網(wǎng)頁進(jìn)行歸類，這樣一來搜索引擎會(huì)更有效率。

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

購(gòu)買Web數(shù)據(jù)挖掘得出的趨勢(shì)顯示可以幫助你對(duì)庫存做出預(yù)測(cè)。

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

在數(shù)據(jù)挖掘軟件出現(xiàn)前，不同的商業(yè)從記錄數(shù)據(jù)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，術(shù)語數(shù)據(jù)挖掘是全方位的，可指代諸多查看和轉(zhuǎn)換數(shù)據(jù)的技術(shù)和過程。

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

如果執(zhí)行此操作，將無法限制數(shù)據(jù)挖掘模型用戶可以查詢的數(shù)據(jù)源。

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

該環(huán)境包括數(shù)據(jù)挖掘算法和工具，使用這些算法和工具更易于生成用于各種項(xiàng)目的綜合解決方案。

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

CRM知識(shí)管理是現(xiàn)代管理的一種先進(jìn)管理思想，集數(shù)據(jù)挖掘技術(shù)和智能分析為一體。

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

有搜索、自然語言處理、數(shù)據(jù)挖掘、機(jī)器學(xué)習(xí)、分布式計(jì)算等其中至少一個(gè)領(lǐng)域的經(jīng)驗(yàn)或者知識(shí)；

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

關(guān)聯(lián)規(guī)則是在數(shù)據(jù)挖掘中所使用的一種技術(shù)，并對(duì)電子商務(wù)事務(wù)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.

這篇文章將從一個(gè)用戶的觀點(diǎn)，介紹一些這些努力，互操作的癌癥數(shù)據(jù)挖掘資源和資料庫。

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

分類在數(shù)據(jù)挖掘中是一項(xiàng)非常重要的任務(wù)，決策樹方法是一種常用的方法。

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

所有數(shù)據(jù)挖掘函數(shù)都是作為常規(guī)的SQL命令來調(diào)用的，后面您將看到這一點(diǎn)。

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

數(shù)據(jù)挖掘模型對(duì)象的結(jié)構(gòu)與SQL表類似，包含用于說明模型的列、數(shù)據(jù)類型和元信息。

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

他還介紹說，破記錄的MapReduce方法在物理學(xué)，密碼學(xué)和數(shù)據(jù)挖掘領(lǐng)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.

數(shù)據(jù)挖掘是近年來國(guó)際上智能信息處理和決策支持分析領(lǐng)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.

具有良好的數(shù)據(jù)倉庫、數(shù)據(jù)挖掘、語義網(wǎng)、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.

本文講述了什么是數(shù)據(jù)挖掘，以及數(shù)據(jù)挖掘的兩種策略：有指導(dǎo)和無指導(dǎo)學(xué)習(xí)。

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，通過對(duì)IMDB傳記文檔中的共同提及數(shù)據(jù)進(jìn)行數(shù)據(jù)挖掘，找到了現(xiàn)實(shí)生活中一些著名的關(guān)聯(lián)。

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

有關(guān)此轉(zhuǎn)換的詳細(xì)信息，請(qǐng)參閱數(shù)據(jù)挖掘查詢轉(zhuǎn)換。

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

數(shù)據(jù)挖掘就是通過創(chuàng)建模型和規(guī)則來將大量的不可用信息（通常是分散的數(shù)據(jù)形式）變成有用的信息。

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

零售商，無論是在網(wǎng)絡(luò)上還是不在網(wǎng)絡(luò)上的，都是處理數(shù)據(jù)的專家（或者，稱為周所周知的商業(yè)智能）。

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

在過去，數(shù)據(jù)挖掘一直是統(tǒng)計(jì)和數(shù)據(jù)分析專家的任務(wù)。

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

論文將數(shù)據(jù)挖掘技術(shù)較好地應(yīng)用到銀行客戶流失預(yù)測(cè)中，取得了良好的效果。

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

數(shù)據(jù)挖掘軟件是分析數(shù)據(jù)的分析工具之一。

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

分類問題尤其是多類分類問題一直是數(shù)據(jù)挖掘研究的熱點(diǎn)問題。

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

數(shù)據(jù)挖掘的一個(gè)重要分支—關(guān)聯(lián)規(guī)則挖掘，主要用于發(fā)現(xiàn)數(shù)據(jù)集中項(xiàng)之間的相關(guān)聯(lián)系。

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

本文是由三篇文章組成的系列文章的終結(jié)篇，該系列向您介紹了數(shù)據(jù)挖掘的概念尤其是WEKA軟件。

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

在數(shù)據(jù)庫知識(shí)發(fā)現(xiàn)中，數(shù)據(jù)挖掘結(jié)果的解釋與評(píng)估是一個(gè)重要的環(huán)節(jié)。

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

正如我在第1部分中所說的，數(shù)據(jù)挖掘的核心就是將正確的模型應(yīng)用于數(shù)據(jù)。

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

面對(duì)“數(shù)據(jù)豐富而知識(shí)匱乏”的挑戰(zhàn)，數(shù)據(jù)挖掘技術(shù)應(yīng)運(yùn)而生。

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

在生物統(tǒng)計(jì)以及數(shù)據(jù)挖掘中，分類預(yù)測(cè)是最基本的任務(wù)之一。

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

數(shù)據(jù)挖掘通常涉及到一些標(biāo)準(zhǔn)的任務(wù)，包括聚集、分類、回歸分析和關(guān)聯(lián)性規(guī)則學(xué)習(xí)。

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

貝葉斯網(wǎng)絡(luò)分類器是數(shù)據(jù)挖掘與知識(shí)發(fā)現(xiàn)領(lǐng)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.

目前各國(guó)普遍使用的數(shù)據(jù)挖掘方法主要有頻數(shù)法與貝葉斯法。

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

為此應(yīng)用數(shù)據(jù)挖掘相關(guān)技術(shù)對(duì)消費(fèi)者的購(gòu)買行為進(jìn)行分析，以達(dá)到精準(zhǔn)營(yíng)銷的。

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.

可以很容易地將這個(gè)示例推廣到一些更有價(jià)值的應(yīng)用場(chǎng)景，因?yàn)?/c>您掌握了基本搜索引擎或者數(shù)據(jù)挖掘工具的核心內(nèi)容。