最后提出内容挖掘与用户挖掘的结合更有助于服务用户。
It is our proposal that the combination of content mining and user data mining will be more helpful to end 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。
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.
就这种意义上来说,文本挖掘从内容收集信息的能力几乎是不可思议的,但是最好关注一下相关性评分。
In this sense, textual mining almost seems magical with respect to what can be gleaned from the content, but it's best to keep an eye on the relevance scoring.
这些研究都围绕着数字文件,数字挖掘,理解文件的,内容和背景。
It's all around the digital documents and really data mining, understanding the content of documents and their context.
我要告诉你,只要你继续挖掘专利的内容,你会发现许多跟系统相关的内容,还有发明的描述。
I have to tell you that as soon as you will dig inside of the content of patents you can find lots of interesting stuff related to systems, and invention described there.
除了协作元素之外,ECM非常适合应用于案例文件,有助于挖掘案例文件内容的业务价值。
In addition to the collaborative element, ECM is best applied to the case file in order to exploit the business value locked up in the contents of the case file.
如果您对流程、数据流或挖掘流启用内容跟踪,那么CONFIG级别和该级别以上的UIMA日志将路由到InfoSphereWarehousing日志。
If you enable content tracing for a process, a data flow, or a mining flow, UIMA logs of level CONFIG and above are routed to the InfoSphere Warehousing log.
在开发SwiftRiver的过程中,我们学习了很多关于挖掘实时内容的知识。
In developing SwiftRiver, we've learned a great deal about mining real-time content.
在本文中,您了解了关联规则挖掘及如何用InfoSphere Warehouse获得关联规则的有关内容。
In this article you learned about association rule mining and how to find association rules with InfoSphere Warehouse.
通过将目标缩小到用户关心的事件上,Vuuch 4.5使得用户无需手动过滤社交内容来挖掘对其有价值的信息。
By "narrowing the focus" to just the things the user CARES about, Vuuch 4.5 eliminates the need for users to manually filter the social system's content to get value from it.
在Aardvark小组将这种现象归因于用户需要使用手机查询快捷,简短的答案,而非挖掘关于该问题深层次的内容。
The Aardvark team attributes this to users wanting quick, short answers on their phones without having to dig for anything.
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。
The company USES a form of data mining to group Web pages by content, which makes the search engine more efficient, he said.
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。
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.
一种新的“订阅阅读器”已经深入挖掘了RSS订阅,并建立起他们自己的内容抓取器。
A new class of "feed readers" have ditched RSS and built their own content scrapers.
挖掘一些能帮你感受新工作内容和方式的项目。
Identify projects that can help you get a feel for a new line of work or style of working.
聚类分析作为数据挖掘的一类功能,是本论文研究的主要内容。
Cluster analysis, as a module and function of data mining, is the main content of this paper.
尽管Digg拥有410万的注册用户,但是有超过3500万的人在阅读和消费这些注册用户挖掘出来的内容。
Although Digg has 4.1 million registered users, there are in excess of 35 million people looking at and consuming what registered users are doing.
通用标签格式能解决当前标签系统的缺陷,它能使所有人(包括最终用户、内容发布者、开发人员)从Web内容里挖掘出更多有用的东西。
The Common Tag format was developed to address the current shortcomings of tagging and help everyone—including end users, publishers, and developers—get more out of Web content.
《家训》丰富的内容和思想也期待更多的人参与到整理与挖掘中来。
"Yan Parental instruction" anticipated that more people participate in the reorganization and the excavation.
本文的内容包括两个方面:关联规则挖掘算法研究和数据挖掘应用系统体系结构的研究。
The content of this paper includes two respects: research of data mining algorithms and the system structure of the application platform of data mining.
数据分类是数据挖掘中一个重要的内容。
Data classification is one of important contents from Data mining.
空间聚类是空间分析和空间数据挖掘的重要方法和研究内容。
Spatial clustering analysis is important method and study content of spatial analysis and spatial data mining.
聚类是数据挖掘领域的重要研究内容之一。
Clustering is one of the most important research in data mining area.
数据挖掘是当今国际人工智能和数据库研究的新兴领域,而关联规则的更新是数据挖掘的一个重要研究内容。
Data mining is a new emerging area for the research of artificial intelligence and databases, in which incremental updating of association rules is an important research topic.
液压油泵的最大输入功率与发动机的最大输出功率之间的匹配问题是液压挖掘机设计过程中的一个重要内容。
It is an important factor for the perfect matching between the maximal input power of the hydraulic oil pump and the maximum output power of the engine in the design process of the hydraulic shovel.
但也深深挖掘的内容和特征的21世纪的城市。
But also deeply digs the contents and characteristics of the 21 century city.
激励是人力资源管理中的重要内容,是挖掘人力资源潜能的有效手段。
Incentive is important content of human resources management and is effective method of opening out human potence.
本文研究的主要内容是数据挖掘技术在电信客户细分领域的应用。
The central of this thesis is the application of Data Mining in telegraphic customer classification.
本文研究的主要内容是数据挖掘技术在电信客户细分领域的应用。
The central of this thesis is the application of Data Mining in telegraphic customer classification.
应用推荐