联机分析挖掘系统是由事务驱动的，事务的优化能提高系统性能。
On Line Analytical Mining system is driven by transaction, so the optimization of transaction can improve system performance.
在数据库中实现联机分析挖掘模型需要实现联机分析处理和主动增量挖掘。
In order to implement the on-line analytical mining model, the on-line analytical processing and the active incremental mining need to be implemented in the database.
早在四年前，我们就花了大量时间来打破信息孤岛，对数据进行清洗、整合、分析挖掘。
As early as four years ago, we spent a lot of time to break the island of information, data cleaning, integration, analysis and mining.
而多年在国外从事人工智能和大数据分析挖掘研究的肖京，对国内大数据应用更为看好。
And for many years engaged in artificial intelligence and big data analysis and Research on the excavation of Xiao Jing, the domestic big data applications more optimistic.
目的对106例严重药品不良反应病例进行分析挖掘警戒信号，为临床安全合理用药提供警示。
The purpose of the 106 cases of serious cases of adverse drug reactions Analytical Mining warning signal, rational use of drugs for clinical safety to provide a warning.
联机分析挖掘技术融合了联机分析处理技术和数据挖掘技术，成为决策支持应用系统新的技术依托。
The idea of using on-line analytical processing (OLAP) to access and analyze on-line monitoring data is presented.
互联网使用信息的挖掘就是对互联网用户网络访问行为进行分析挖掘，以获得描述其中内存规律的模式。
Mining of Internet message is analyzing and mining network access action of Internet user so as to obtain mode for describing memory rule.
关联规则分析是联机分析挖掘研究的一个重要内容，其目的是找出给定的数据集中的项之间有意义的联系。
Association rules mining is one of the important functions of data mining, which discovers a set of interesting association from relevant sets of data in a database.
在研究了联机分析处理与数据挖掘集成的联机分析挖掘系统基础上，设计了基于达梦联机分析处理服务器的数据立方梯度联机挖掘工具DM_MCGOBC。
After the online analytical mining model is studied, an online cube gradient mining tool DM_MCGOBC is designed based on the online analytical processing server DM_OLAP.
该研究对“全美护士健康研究”的数据进行了分析挖掘。那项研究分析了自1976年以来122 700名年龄在30至55岁之间的注册女护士的健康状况。
The study mined data from the national nurses' health study, which has analysed the health of 122, 700 female registered nurses ages 30 to 55 since 1976.
数据挖掘技术被用于分析个人的购买习惯。
在本系列中，您将了解如何管理和组织数据与内容，了解分布式数据挖掘并学习分析信息并向用户呈现的一些技巧。
Throughout the series, you discover how to manage and organize data and content, learn about distributed data mining, and find tips for analyzing and presenting information to users.
现在，犹他大学的计算机科学家设计出了一种新的方法，能简单快速地实施“数据挖掘”或提取与分析巨量数据。
Now, a University of Utah computer scientist has devised a new method for simpler, faster "data mining," or extracting and analyzing massive amounts of such data.
多年来，一些组织使用数据挖掘来分析海量数据，以便能够预测行为、生成有用的报告、赢得竞争，等等。
For many years, organizations have used data mining to analyze volumes of data so they can predict behavior, produce meaningful reports, overcome competition, and so on.
组织使用数据挖掘来分析海量数据，以产生富有含义的报告，帮助预言行为、赢得竞争，等等。
Organizations use data mining to analyze large collections of data to produce meaningful reports that help to predict behavior, overcome competition, and more.
顺序分析是一个两阶段的顺序模式挖掘流程1。
The sequence analysis is a two-stage process for sequential pattern mining 1.
从这个出发点来看，它使用的是文本挖掘，试图分析网页并鉴定他们关键的语义概念。
For this purpose it uses text mining to analyze Web pages and identify their key semantic concepts.
DB 2 DWE通过同样交付关键的分析和挖掘技术完成了该蓝图。
DB2 DWE completes the picture by delivering key analytic and mining technologies as well.
必须谴责瞄准乘数效应的数据挖掘和错误分析工作。
Blame data mining and bad analysis for multiplier sightings, Barro says.
但是，使用社会网络分析进行更加广泛的数据挖掘会使新的事物成为可能。
But broadening data mining to include analysis of social networks makes new things possible.
而我们运行了业务流程之后所进行的一切信息分析的工作实际上与业务分析和数据挖掘概念紧密的联系在一起。
All the post analysis of the information that we get when we run our processes are in fact closely related with Business analysis and Data Mining concepts.
DB 2DWE集成了用于仓库管理、数据转换、数据挖掘以及OLAP分析和报告的核心组件。
DB2 DWE integrates core components for warehouse administration, data transformation, and data mining, as well as OLAP analytics and reporting.
DWE集成了用于仓库管理、数据挖掘、OLAP和内联分析和报告的核心组件。
DWE integrates core components for warehouse administration, data mining, OLAP and inline analytics and reporting.
此软件还可以通过分析语言模式进行更深层次地挖掘。
The software can dig deeper still by analysing linguistic patterns.
关联数据、语义分析、分析数据挖掘，这些都可以作为下一代网络产品和其它附加值的基础。
Linked data, semantic analysis, analytics and data mining all form a layer on top of the content-web that could serve as the foundation for the next series of applications and other added value.
目前，有几种常用的数据分析技术：查询和报表制作、多维分析以及数据挖掘。
There are several techniques for data analysis that are in common use today: query and reporting, multidimensional analysis, and data mining.
该提供者实现了OLE DB的规范，以及联机分析处理(OLAP)和数据挖掘的扩展规范。
This provider implements both the OLE DB specification and the specification's extensions for online analytical processing (OLAP) and data mining.
但是当进行完数据分析后，科学家发现，挖掘的信息量比他们此前期待的要丰富得多。
But as they analyzed the data, scientists found everything they were looking for, and more.
有了Hadoop，分布式数据挖掘和分析对所有软件创新者和企业家都是可用的，包括但不限于Google和Yahoo ！这类大企业。
With Hadoop, distributed data mining and analysis is available to all kinds of software innovators and entrepreneurs, including but not limited to big guns like Google and Yahoo!.
有了Hadoop，分布式数据挖掘和分析对所有软件创新者和企业家都是可用的，包括但不限于Google和Yahoo ！这类大企业。
With Hadoop, distributed data mining and analysis is available to all kinds of software innovators and entrepreneurs, including but not limited to big guns like Google and Yahoo!.
应用推荐