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.
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。
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.
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。
These can be simple data mining software or highly specific for detailed and extensive tasks that will be sifting through more information to pick out finer bits of information.
他们可以是简单的数据挖掘软件，或者可以筛选更多信息去发现更精细的部分的为具体、扩展任务深度定制的软件。
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。
There is a growing trend among companies, organizations and individuals alike to gather information through web data mining to utilize that information in their best interest.
现在在公司、组织、个人中出现了一种通过网络数据挖掘收集信息然后利用那些他们最感兴趣的信息的趋势。
Data mining is the task of finding useful information in large datasets.
数据挖掘是一项从大型数据集中发现有用信息的任务。
The challenge is no longer collecting information, but mining the data to answer specific research questions - such as the paradox of the human genome being so much smaller than that of a fruit fly.
人们面临的挑战不再是收集信息，而是挖掘数据以回答特定研究问题——例如人类基因组比果蝇的基因组小如此多的矛盾。
The more information in the log, the more powerful the data mining you can achieve.
日志中的信息越多，您所能实现数据挖掘就越强有力。
Data mining is about digging up interesting information from this high-dimensional data.
数据挖掘便是要从高维数据中挖出那些令人感兴趣的信息来。
Text mining is data mining applied to information extracted from text.
文本挖掘就是用于从文本中提取信息的数据挖掘技术。
Banks use this information to assess the risk of giving you a mortgage or loan, and they are legally allowed to use data-mining companies to check your website activity.
银行利用这些信息来评估给你按揭或贷款的风险，他们在法律上被允许使用数据挖掘公司来检查你的网站活动。
Few people work with artificial intelligence; most commonly, data mining simply entails the ingesting of large data sets and searching through them to find information that is useful.
很少有人使用人工智能；通常，数据挖掘只是搜索并汇集大型数据集，以查找有用的信息。
Whether it USES log4j or not, if you stick to the same information and layout, you can still do all the data mining with UNIX commands that I've described.
不管使用log4j与否，只要坚持使用相同的信息和布局，您仍然能够使用我讲述过的UNIX命令来完成所有的数据挖掘。
This information "provides a rich resource for data mining, developing new services, and entering new commercial markets, like targeted AD campaigns," notes King.
这些信息“为数据挖掘、开发新服务和进入新的商业市场，例如目标广告活动，提供丰富的资源，”King提到。
Mining data from the web involves applying structure to information that is typically presented in a semi-structured format at best.
从web挖掘数据需要向通常最多只不过以半结构化格式呈现的信息应用结构。
See the InfoSphere Warehouse documentation for instructions on how to see the UIMA logs of a mining or data flow and how to change the UIMA trace level to get more information.
查看InfoSphereWarehouse文档了解如何查看挖掘流或数据流的uima日志，以及如果更改uima跟踪级别获得更多信息。
In directed data mining, you are trying to predict a particular data point - the sales price of a house given information about other houses for sale in the neighborhood, for example.
在直接的数据挖掘中，您会尝试预测一个特定的数据点—比如，以给定的一个房子的售价来预测邻近地区内的其他房子的售价。
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。
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。
Financial data mining is one of the most challenging research directions in information society.
金融数据挖掘是信息社会中一个极具挑战性的研究方向。
Data Mining is a domain which tries to extract knowledge and interesting information from very large-scale databases. This knowledge is hidden, unknown, but potentially useful.
数据挖掘是从大型数据库的数据中提取人们感兴趣的知识，这些知识是隐含的、事先未知的潜在有用信息。
By recurring to data Mining, the analysts can use a series of tools to analyze the data, get the feedback, and review the raw information in the new Angle of view.
通过这一技术，人们在计算机帮助下利用一系列工具对数据进行分析，然后根据反馈的内容从新的视角来考察原始数据的信息。
This system adopts data mining technique to obtain useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
本系统采用数据挖掘技术从已有的产品数据库、知识库和规则库中获取有用信息和知识以支持产品概念设计。
In order to find the interested knowledge from datasets, it is required to use data mining which is useful in times of digital information.
为了从数据集中发现感兴趣的知识规则，须得利用好数据挖掘这一数字信息时代的利器。
Data Mining, also referred to as Knowledge Discovery from database, is to abstract the potential, unknown and useful information or pattern from the large database or data warehouse.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取隐含的、事先未知的、潜在有用的信息或模式。
Data mining results from the situation described as data rich but information poor, and within only several years, has attracted many people in different fields.
数据丰富而知识贫乏的状况导致了数据挖掘的出现，并且在短短的几年内，引起了许多领域的人们的极大兴趣。
Data mining technology can find useful information for decision-making from massive history data thus it has been applied widely.
数据挖掘技术能从海量数据中，发现对决策有重要作用的信息，因而得到广泛应用。
Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.
属性约简是数据挖掘预处理中非常重要的一步，它通过减少信息的维数提高数据挖掘算法的效率。
The data mining is excavates from the magnanimous data possibly has the latent value information technology.
数据挖掘就是从海量的数据中挖掘出可能有潜在价值的信息的技术。
This system adopts data mining technique and obtains useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
采用数据挖掘技术从已有的产品的数据库、知识库、规则库中获取有用的信息和知识来有效地支持机械产品概念设计。
应用推荐