这些针对业务进行优化的服务不需要进行宣传和数据挖掘，并且也不是针对业务重新改造的消费者应用程序。
These business-optimized services are free of advertising or customer data mining and are not consumer applications that have been repurposed for business.
客户关系管理，挖掘精度数据，在许多方面更贴近消费者的需求，想顾客所想。
Depth of customer relationship management, mining precision data, in many ways closer to consumer demand, to fit the users would like.
用户和参与编写者不但能够轻易获取数据集，而且可以对其进行校勘和深入挖掘。
Both users and the site’s own contributors collate and scrape datasets so that they’re easily accessible.
这就需要挖掘数据来对比过去购车者的年龄和过去购买的车的颜色。
The data can be mined to compare the age of the purchaser of past cars and the colors bought in the past.
从数据挖掘查询返回的XML数据的消费者通常只对自上次查询以来发生的数据变化感兴趣。
Consumers of XML data returned from data-mining queries are often interested only in the data changes made since a previous query.
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.
集成对于接受数据挖掘有重要的影响，因为结果的使用者不必知道关于挖掘过程的任何细节。
It pointed out that such an integration can have a significant impact on the acceptance of data mining, as the consumer of the results must not be aware of any of the details of the mining process.
文卡称其“或许是数据挖掘中最重要的工具之一，遍及各地的无数研究者都在使用着。”
Venkatasubramanian says it is "probably one of the most important tools in data mining and is used by countless researchers everywhere."
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!.
要从Cognos调用挖掘，最好是在对数据库的单一调用内执行这二者。
To call mining from Cognos, it is ideal to do both in a single call to the database.
DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。
The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.
对企业人力资源数据的分析和挖掘对企业管理者的决策分析能力起到巨大的支持作用。
The analysis and the excavation of the enterprise's human resources data have played a huge support role to the enterprise superintendent's policy-making analysis ability.
通过对当前数据挖掘中具有代表性的优秀分类算法进行分析和比较，总结出了各种算法的特性，为使用者选择算法或研究者改进算法提供了依据。
It summarizes the main features of every algorithm by analyzing and comparing a variety of typical classifiers to provide a basis for selecting or improving the algorithms in data mining.
本文基于数据仓库中的数据挖掘技术，针对企业决策问题，讨论了如何有效地获取有关顾客信息及商品信息，以辅助决策者制定决策方案。
Based on data mining techniques in the data warehouse, this paper discusses how to obtain the information about products and customers effectively for the enterprise decision.
SAS数据挖掘技术是众多数据挖掘方法中的佼佼者，它在大型企业中得到很好的应用。
The SAS data mining technique is applied in to a wide application in the sizeable enterprise.
对商务智能、数据挖掘的概念和两者的关系做了简要的描述，并对当前流行的数据挖掘算法做了介绍。
The paper describes the concepts and relationship of BI and data mining briefly, and introduces the popular data mining algorithm.
在此基础上，学术界新提出了OLAM，它结合了二者的优势，提供在数据立方体上进行交互式多维数据挖掘的方法。
On this basis, the academia has put forward the idea of OLAM which had combined the advantages of the above two and offered the method of the interactive multidimensional data mining on the data cube.
具体地说，笔者运用数据挖掘技术对测试信息的分析主要包括以下三个方面：一是对学习者进行试题推荐。
Specifically, there are three aspects in the data mining analysis of information on the test: the first aspect is to recommend test questions to the learner.
对这些数据挖掘可以帮助理解用户的行为，从而改进站点的结构，或为来访者提供网页推荐服务。
By mining these data, it can help us understand the behavior of user, thus improve the structure of Web sites or provide the Web page recommendation to the visitors.
通过将购物篮分析方法应用到网络零售业中，能够挖掘交易数据背后的更多信息，为经营者的决策提供参考依据。
By the application of market basket analysis method to online retail industry, more information hidden behind transaction data could be find out and provided to decision makers for their reference.
粗糙集理论中的值约简和数据挖掘领域中的决策树都是有效的分类方法，但二者都有其局限性。
Value reduction in rough set theory and decision tree in data mining are effectively used in the classification, but each of them has shortcomings.
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。
So, with the result of achieving the purpose of precision marketing, we must apply data mining to analyze the purchasing power of consumers.
为数据的集中管理和综合利用提供了解决方案，为企业决策者进行统计分析和数据挖掘奠定了良好的基础。
We provide a solution for the centralized management and utilization of data and has laid a good foundation for the enterprise decision-makers to conduct statistical analysis and data mining.
我们介绍了一种新的概念化框架，语义图像挖掘，使得研究者能够在网络数据分析中将图像挖掘和本体论推论结合起来。
We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.
研究者们从一个数量近五千的流感基因序列库着手，采用数据挖掘的处理方法从55个流感RNA序列中筛选出应用于流感集成电路芯片的探针。
Beginning with a pool of nearly 5,000 flu gene sequences, the investigators used the data mining process to select 55 flu RNA sequences for use as probes on the FluChip.
通过对后台数据库中记录的学习者使用情况的挖掘，可以帮助教师更好的了解学习者，以便进行课堂或远程指导。
Ming the back-end database which Record the use of students can help teachers better understand the students for the classroom teaching or remote guidance teaching.
通过对后台数据库中记录的学习者使用情况的挖掘，可以帮助教师更好的了解学习者，以便进行课堂或远程指导。
Ming the back-end database which Record the use of students can help teachers better understand the students for the classroom teaching or remote guidance teaching.
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