| 单词 | data mining |
| 释义 |
例句释义: 数据挖掘,资料探勘,资料挖掘,资料采矿 1. Data mining revolves around the data and, of course, all the algorithms that we've learned about have revolved around the data. 数据挖掘围绕此数据进行，当然所有我们已经学习过的这些算法也都是围绕此数据的。 www.ibm.com 2. Data Mining provides people with a new approach to understand data. The association rule is an important pattern in data mining. 数据挖掘给人们提供了一种新的认识数据、理解数据的智能手段，关联规则是数据挖掘的一种重要模式。 www.ceps.com.tw 3. Cluster analysis is one of the means of multivate analysis and is widely used in pattern recognition, data mining and decision analysis etc. 聚类分析是多元统计分析的方法之一，广泛的应用在模式识别，数据挖掘和决策分析等领域。 www.fabiao.net 4. So unless you plan to make a career out of data mining, the "good enough" is likely all that you need. 所以除非您立志以数据挖掘为职业方向，否则“足够好”就可以了。 www.ibm.com 5. The company uses a form of data mining to group Web pages by content, which makes the search engine more efficient, he said. 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。 www.bing.com 6. Buying trends shown through web data mining can help you to make forecast on your inventories as well. 购买Web数据挖掘得出的趋势显示可以帮助你对库存做出预测。 www.bing.com 7. 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。 www.bing.com 8. Additionally, the term data mining is all-encompassing, referring to dozens of techniques and procedures used to examine and transform data. 此外，术语数据挖掘是全方位的，可指代诸多查看和转换数据的技术和过程。 www.ibm.com 9. If you do this, you will not be able to limit the data sources to which data mining model users can query. 如果执行此操作，将无法限制数据挖掘模型用户可以查询的数据源。 msdn2.microsoft.com 10. The environment includes data mining algorithms and tools that make it easy to build a comprehensive solution for a variety of projects. 该环境包括数据挖掘算法和工具，使用这些算法和工具更易于生成用于各种项目的综合解决方案。 msdn2.microsoft.com 1. CRM knowledge manage is an advanced manage idea in modern management, which combined data mining and intelligence analyses into a body. CRM知识管理是现代管理的一种先进管理思想，集数据挖掘技术和智能分析为一体。 www.ceps.com.tw 2. At least one area of experience or knowledge in search, natural language processing, data mining, machine learning, distributed computing. 有搜索、自然语言处理、数据挖掘、机器学习、分布式计算等其中至少一个领域的经验或者知识； www.sino-uni.cn 3. 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。 www-128.ibm.com 4. This article will introduce some of these efforts, the interoperable cancer data-mining resources and repositories, from a user-perspective. 这篇文章将从一个用户的观点，介绍一些这些努力，互操作的癌症数据挖掘资源和资料库。 www.chinapubmed.net 5. Classification is a very important task in Data mining. Decision tree is one of the common classification algorithms. 分类在数据挖掘中是一项非常重要的任务，决策树方法是一种常用的方法。 www.ceps.com.tw 6. All data mining functions are invoked just as usual SQL commands, as you will see below. 所有数据挖掘函数都是作为常规的SQL命令来调用的，后面您将看到这一点。 www.ibm.com 7. The data mining model object is structured like an SQL table, with columns, data types, and meta information that describe the model. 数据挖掘模型对象的结构与SQL表类似，包含用于说明模型的列、数据类型和元信息。 msdn2.microsoft.com 8. The record-breaking MapReduce approach, he said, is useful in physics, cryptography and data mining. 他还介绍说，破记录的MapReduce方法在物理学，密码学和数据挖掘领域也是很有用的。 www.bing.com 9. Data mining is one of the most advanced research directions of intelligent information processing and decision support analysis nowadays. 数据挖掘是近年来国际上智能信息处理和决策支持分析领域的最前沿的研究方向之一。 www.ceps.com.tw 10. It must be the research background of good data warehouse, data mining, semantic web, artificial intelligence direction. 具有良好的数据仓库、数据挖掘、语义网、人工智能等方向的研究背景。 emuch.net 1. This paper introduces concept of data mining, and presents two methods of data mining: supervised learning and unsupervised learning. 本文讲述了什么是数据挖掘，以及数据挖掘的两种策略：有指导和无指导学习。 www.chemyq.com 2. 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，通过对IMDB传记文档中的共同提及数据进行数据挖掘，找到了现实生活中一些著名的关联。 www.ibm.com 3. For more information about this transformation, see Data Mining Query Transformation. 有关此转换的详细信息，请参阅数据挖掘查询转换。 msdn2.microsoft.com 4. 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。 www.ibm.com 5. Retailers, offline as well as online, are masters of data mining (or "business intelligence" , as it is now known). 零售商，无论是在网络上还是不在网络上的，都是处理数据的专家（或者，称为周所周知的商业智能）。 www.ecocn.org 6. Historically, data mining has been a task that could only be accomplished by experts in statistics and data analysis. 在过去，数据挖掘一直是统计和数据分析专家的任务。 www.ibm.com 7. The paper applies the data mining technology to the bank customer churn well in the forecast, has obtained the good effect. 论文将数据挖掘技术较好地应用到银行客户流失预测中，取得了良好的效果。 www.lw23.com 8. Data mining software is one of a number of analytical tools for analyzing data. 数据挖掘软件是分析数据的分析工具之一。 iask.sina.com.cn 9. Classification, particular Multi-classification problem has been a hot topic in data mining. 分类问题尤其是多类分类问题一直是数据挖掘研究的热点问题。 www.fabiao.net 10. Association rule, as an important branch of data mining, mainly digs out the relevance among the data items. 数据挖掘的一个重要分支—关联规则挖掘，主要用于发现数据集中项之间的相关联系。 www.13191.com 1. This article wraps up the three-article series introducing you to the concepts of data mining and especially to the WEKA software. 本文是由三篇文章组成的系列文章的终结篇，该系列向您介绍了数据挖掘的概念尤其是WEKA软件。 www.ibm.com 2. Evaluation for the result of data mining is an important phase in KDD(Knowledge Discover in Database). 在数据库知识发现中，数据挖掘结果的解释与评估是一个重要的环节。 www.dictall.com 3. As I said in Part 1, data mining is about applying the right model to your data. 正如我在第1部分中所说的，数据挖掘的核心就是将正确的模型应用于数据。 www.ibm.com 4. Data Mining (DM) technology came into being with the challenge of "rich data without knowledge" . 面对“数据丰富而知识匮乏”的挑战，数据挖掘技术应运而生。 paper.pet2008.cn 5. Classification is one of the most basic tasks during the biological statistics and data mining. 在生物统计以及数据挖掘中，分类预测是最基本的任务之一。 www.dictall.com 6. Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning. 数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。 www.ibm.com 7. Bayesian network classifier is one of the main research methods in data mining and KDD domain. 贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。 lib.cqvip.com 8. Frequency method and Bayesian method are the two main data mining algorithms used in pharmacovigilance nowadays. 目前各国普遍使用的数据挖掘方法主要有频数法与贝叶斯法。 www.chemyq.com 9. So, with the result of achieving the purpose of precision marketing, we must apply data mining to analyze the purchasing power of consumers. 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。 www.boshuo.net 10. 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。 www.ibm.com 1. While data mining, as an advanced data analysis methodology, is an effective tool for the in-depth analysis of customer data. 数据挖掘作为一种先进的数据分析方法，是实现对客户数据进行深入分析的有效工具。 www.fabiao.net 2. this chapter also puts forward the system ' s construction and core ? ? data mining ' s engine and its disposal process. 提出了人才认知系统的体系结构及其核心？？数据挖掘引擎的处理过程。 www.ichacha.net 3. Decision tree is an important tool for data mining. However, the design of optimal decision tree is proved to be a NPcomplete problem. 决策树是一种重要的数据挖掘工具，但构造最优决策树是一个NP-完全问题。 kns50.chkd.cnki.net 4. Classification is one of research directions of data mining. The KNN algorithm is clear and easy classification algorithm. 分类是数据挖掘任务之一，KNN算法是一种思路简单，易于实现的分类算法。 www.fabiao.net 5. Clustering is one of primary techniques in the filed of data mining. It is an unsupervised mode of pattern recognition. 聚类是数据挖掘的主要技术之一，是一种无导师监督的模式识别方式。 www.ceps.com.tw 6. For a list of the functions that are common to all Microsoft algorithms, see Data Mining Algorithms. 有关对所有Microsoft算法都通用的函数列表，请参阅数据挖掘算法。 msdn2.microsoft.com 7. Contains the ID of the mining model with which the data mining dimension is associated. 包含数据挖掘维度所关联的挖掘模型的ID。 technet.microsoft.com 8. To complete this tutorial, you should be familiar with databases. You do not need to be familiar with data mining concepts. 要完成本教程，读者应该熟悉数据库，但是不需要熟悉数据挖掘的概念。 www.ibm.com 9. The data mining system builds corresponding decision tree, creates corresponding rules which can be used to make prediction. 根据数据挖掘模型建立了相应的决策树，产生了对应的规则集，并能根据规则集进行预测。 www.fabiao.net 10. Determines the main indicators of hypothyroidism classification through the establishment of appropriate data mining model. 通过建立相应的数据挖掘模型，得出了甲减分类的主要判别指标。 pp.lunwenchina.net.cn 1. Spatial clustering is one of the important research topic in spatial data mining, it is widely applied in spatial analysis. 空间聚类是空间数据挖掘研究的重点内容之一，被广泛应用在空间数据分析中。 www1.chkd.cnki.net 2. C4. 5 decision tree algorithm is a popular method used for data mining, by which data can be quickly and accurately classified. 5决策树算法是一种流行的用于数据挖掘的方法，可以快速准确地将数据分类。 lib.cqvip.com 3. Estard Data Miner is a comprehensive data mining application, able to discover hidden relations both in structured and unstructured data. estard数据矿工是一项综合性的数据挖掘应用，能够发现隐藏的关系，无论是在结构化和非结构化数据。 xtdownload.com 4. As you've seen, WEKA can do many of the data mining tasks that were previously available only in commercial software packages. 正如您所见，WEKA可以完成很多在商业软件包中才能完成的数据挖掘任务。 www.ibm.com 5. Cluster analysis is an important data-mining technique, as well as an important step of data-mining. 聚类分析既是一种重要的数据挖掘技术，又是数据挖掘的一个重要步骤。 www.fabiao.net 6. Classification analysis is an important study direction of data mining technology. 分类分析是数据挖掘技术研究的一个重要方向。 search.gucas.ac.cn 7. The Data Mining Query Task in Integration Services enables you to extract and store information from mining models. IntegrationServices中的数据挖掘查询任务允许您提取和存储来自挖掘模型的信息。 msdn2.microsoft.com 8. Derived from this the concept of data mining is widely recognized, and many interrelated technologies and products are appeared. 由此而产生的数据挖掘概念引起了广泛地重视，出现了许多与之相关的技术和产品。 www.fabiao.net 9. A mining model is defined by a data mining structure object, a data mining model object, and a data mining algorithm. 挖掘模型由一个数据挖掘结构对象、一个数据挖掘模型对象以及一种数据挖掘算法定义。 msdn2.microsoft.com 10. Provides detailed information about DMX, the scripting language used to create and work with data mining models in Analysis Services. 详细介绍AnalysisServices中用来创建和处理数据挖掘模型的脚本语言DMX。 technet.microsoft.com 1. Classification model is one of the key searching content in machine learning and data mining. 分类模型是机器学习和数据挖掘最重要的研究内容之一。 cnki.gzlib.gov.cn 2. The sorting is one of the most important tasks in the data mining and the decision tree and rough set are two main methods used to sort. 分类在数据挖掘中是一项非常重要的任务，而决策树方法和粗糙集方法则是分类的主要方法。 www.ceps.com.tw 3. A classifier is the basic method in the data mining, and a decision tree is one of the most important classifiers. 分类器是数据挖掘的一种基本方法，决策树是一种最重要的分类器。 lib.nwnu.edu.cn 4. The data mining theories consist of such sections as the concept, classification, technique, procedure and application of data mining. 主要是数据挖掘的概念，同时对数据挖掘进行了分类，简单的说明了数据挖掘技术、数据挖掘的过程及应用。 www.fabiao.net 5. The last chapter mainly introduces the actuality of Data Mining and its development direction. 第六章主要介绍了数据挖掘的研究现状以及发展方向。 www.fabiao.net 6. Ruby and the Twitter gem make it simple to develop useful mash-ups or dashboards for your data-mining needs. Ruby和Twittergem允许您轻松开发有用的mash-ups或指示板，从而满足您的数据挖掘需求。 www.ibm.com 7. Integration Services has many other components that may be useful as part of a data mining solution. IntegrationServices还有许多其他组件可用于数据挖掘解决方案的一部分。 msdn2.microsoft.com 8. In the previous two articles in this " Data mining with WEKA" series, I introduced the concept of data mining. 在这个“用WEKA进行数据挖掘”系列之前的两篇文章中，我介绍了数据挖掘的概念。 www.ibm.com 9. For a complete description of the content types that Analysis Services supports, see Content Types (Data Mining). 有关AnalysisServices支持的内容类型的完整说明，请参阅内容类型（数据挖掘）。 msdn2.microsoft.com 10. Classification is one tasks of data mining, using particle swarm optimization in classification especially classification rule extraction. 分类是数据挖掘研究的主要内容之一，将微粒群算法应用于分类问题，进行分类规则的提取。 lib.cqvip.com 1. developerWorks: Now the primary themes as I understand are collaboration, application creation, and information technology or data mining. developerWorks：据我了解，会议的主要主题是协作、应用程序创建和信息技术或数据挖掘。 www.ibm.com 2. Data mining is acting a more important role in many fields as one of booming data analysis techniques. 数据挖掘则是一种新兴的的数据分析技术，在许多行业中扮演着越来越重要的角色。 www.fabiao.net 3. Absrtact: The problem of similarity measurement between high dimensional data is one of the problems high-dimensional data mining faces. 摘要：高维数据之间的相似性度量问题是高维空间数据挖掘中所面临的问题之一。 www.xactad.org 4. Multi-relational classification is one of the most popular research areas in data mining. 多关系分类是数据挖掘领域中的研究和应用热点。 www.dictall.com 5. Minimum 2 years of experience in data analysis or data mining, preferably in the retail industry; Sensitive to data is mandatory. 在数据分析、数据挖掘方面有至少2年的经历，有零售业的相关经历者优先；同时对数据敏感。 my.jobems.com 6. Imputing missing values is one of the challenges in data mining and machine learning. 缺失填补是机器学习与数据挖掘领域中极富有挑战性的工作。 dictsearch.appspot.com 7. The first step to creating mining models for a sales forecasting scenario is to use the Data Mining Wizard to create a new mining structure. 为销售预测情况创建挖掘模型的第一步是使用数据挖掘向导创建新的挖掘结构。 www.juyy.net 8. The critical technologies of BI Data Warehousing, OLAP, Data Mining are analysed, as well as the common technical features of ODS. 分析了商业智能的几大关键技术——数据仓库、联机分析处理、数据挖掘，以及通用的ODS技术特点。 www.fabiao.net 9. These mining models can be constructed from other data sources by using a wide variety of industry-standard data mining algorithms. 通过使用多种行业标准数据挖掘算法，可以基于其他数据源构造这些挖掘模型。 msdn2.microsoft.com 10. The challenge of data mining is dealing with the dimensionality of the data and the volume of it. 数据挖掘所面临的挑战在于数据的维数及其容量。 www.bing.com 1. Sequential pattern mining, which has broad applications, is one of key research areas in data mining. 序列模式挖掘是数据挖掘中一个重要研究方向，具有广泛的应用背景。 dictsearch.appspot.com 2. This paper discusses the Predictive Model Markup Language (PMML), and gives some examples of its applications in specific data mining tools. 本文对预言模型标记语言（PMML）进行了讨论，并给出了它在具体数据挖掘工具中的应用实例。 www.dictall.com 3. At last, the data mining application of the red tide forecast is analyzed, and it proves that the system application is scientific and rear. 最后通过对赤潮预测的数据挖掘应用分析，验证了系统应用的科学合理性。 www.dictall.com 4. Decision tree is one of the important Categorising Data Mining methods. 决策树是分类数据挖掘的重要方法。 lib.cqvip.com 5. Data mining in the time series similarity search was applied to hydrological time series data for mining similar hydrological processes. 将时间序列相似性搜索的数据挖掘方法应用于水文时间序列数据中，挖掘相似的水文过程。 www.ceps.com.tw 6. Research data mining techniques in the application of vehicle insurance is of great significance. 因此，研究数据挖掘技术在车辆保险中的应用具有重要意义。 www.fabiao.net 7. Data mining integration application is one of advanced problems in database field. 数据挖掘集成应用是当今数据库领域的前沿课题。 www.dictall.com 8. This add-in provides easy-to-use tasks that leverage SQL Server 2005 Data Mining to perform powerful analytics on your spreadsheet data. 这个增益集利用SQLServer2005资料采矿，对试算表资料执行强大的分析能力，让工作更容易。 www.microsoft.com 9. So, distributed and parallel data mining pattern is one of hot problems of research currently. 因此，分布式并行数据挖掘处理模式是目前研究的热点问题之一。 www.fabiao.net 10. Academes and enterprises have paid common attentions to the research in data mining and its applications in SciTech assessment. 数据挖掘技术及其在科技项目评估中的应用研究已经成为学术界和企业界共同关注的领域。 www.edu-hb.com 1. Data mining columns can be one of four types: key, input, predictable, or a combination of input and predictable. 数据挖掘列可以为下列四种类型之一：键列、输入列、可预测列或输入列和可预测列的组合。 msdn2.microsoft.com 2. The traditional analytics include reporting, data mining, dashboards, scorecards, and business performance management. 传统的分析包括报告、数据挖掘、仪表板（dashboard）、记分卡和业务性能管理。 www.ibm.com 3. Attribute reduction is a rough set approach in data mining that determines the set of important attributes to represent the IS. 属性约简是数据挖掘中的一种粗糙集方法，它决定了能代表整个信息系统的重要属性的集合。 www1.chkd.cnki.net 4. This research work is a part of the Research of Data Mining on Medical Image supported by the National Natural Science Foundation of China. 本项研究是受国家自然科学基金资助的，课题名为“基于医学图像数据挖掘技术的研究”。 www.fabiao.net 5. When actual develops a data mining system, actually should choose which kind of data mining technology, often is a very difficult matter. 当实际开发一个数据挖掘系统时，究竟应该选择哪种数据挖掘技术，往往是一件很困难的事情。 www.ceps.com.tw 6. You can add reports that take advantage of all the data mining techniques we've learned so far. 您可以添加充分利用了我们到目前所学的全部数据挖掘技术的报告。 www.ibm.com 7. For more information about this task, see Data Mining Query Task. 有关此任务的详细信息，请参阅数据挖掘查询任务。 msdn2.microsoft.com 8. After data mining and online profiling, brain imaging could well become the next frontier in the privacy wars. 经过数据处理和在线仿形，脑成像在未来很可能会成为隐私战争的前沿阵地。 www.ccun.cn 9. Multiple data mining models can be trained by one destination if the models are built on the same data mining structure. 如果模型是在同一数据结构上生成的，则一个目标可为多个数据挖掘模型定型。 msdn2.microsoft.com 10. This last article will discuss the last of the four common data mining techniques: Nearest Neighbor. 本文将讨论四种常用的数据挖掘技术中的最后一种：最近邻。 www.ibm.com 1. An image database is an interactive software application that combines data management, image analysis and visual data mining. 一个图像数据库是一个交互式的软件应用，将数据管理，图像分析和可视化数据挖掘。 www.syyxw.com 2. At present, how to deal with large-scale high-dimensional data set is one of the hot and difficult issues in data mining. 目前，如何处理大规模的高维数据集是聚类分析领域的热点和难点之一。 www.13191.com 3. The requirement to process large amount of data distinguishes data mining in the database context from its study in the AI context. 由于要处理大量的数据，所以在数据库中进行的数据挖掘与在人工智能中进行的数据挖掘是不同的。 cs.jnu.edu.cn:8080 4. This article described the basic architecture that enables a simple integration of InfoSphere data mining into Cognos reporting. 本文描述了可以将InfoSphere数据挖掘简单地集成到Cognos报告中的基本架构。 www.ibm.com 5. Times series data is one of common data types and also the important research subject of data mining. 时序数据是一种常见的数据类型，也是数据挖掘的重要研究内容。 www.ceps.com.tw 6. Data Mining Designer in Business Intelligence Development Studio contains several tools that you can use to explore mining models. BusinessIntelligenceDevelopmentStudio中的数据挖掘设计器包含几种可用于浏览挖掘模型的工具。 technet.microsoft.com 7. Data Mining is a jumped-up and defiant research field, whose involved contents and research directions are comprehensive and abundant. 数据挖掘是一门新兴且极富挑战性的研究领域，其涉及的内容、研究的方向广泛而又丰富。 search.gucas.ac.cn 8. InfoSphere Warehouse also includes a Taxonomy Editor that categorizes dictionary entries in a taxonomy tree for use in data mining and OLAP. InfoSphereWarehouse还包含一个TaxonomyEditor，它可以把词典条目分类为分类法树，可以供数据挖掘和OLAP使用。 www.ibm.com 9. These algorithms are a subset of all the algorithms that can be used for data mining. 这些算法是所有可用于数据挖掘的算法的子集。 msdn2.microsoft.com 10. Data mining is the core topic of this paper. Basically, it includes associate rule founding, data clustering and data assorting. 数据挖掘是本课题的研究核心，主要包括关联规则发现、数据聚类和数据分类。 www.fabiao.net 1. The data mining model object encapsulates all that is known about a particular mining model. 数据挖掘模型对象将封装所有有关特定挖掘模型的已知内容。 msdn2.microsoft.com 2. Research technologies in search domain, including indexing, ranking, data mining, machine learning, distributed computing etc. 研究搜索领域的相关技术，主要包括索引，相关性，数据挖掘，机器学习，分布式计算等。 www.sino-uni.cn 3. Clustering is an important technology in Data Mining(DM) for the discovery of data distribution and latent data pattern. 聚类是数据挖掘中用来发现数据分布和隐含模式的一项重要技术。 www.dictall.com 4. Testing shows that the method can significantly improve the efficiency of data mining on condition that obtains satisfactory correctness. 试验表明该策略能在获得满意的正确性的情况下显著的提高数据挖掘的效率。 www.zidir.com 5. In a brief analysis the disadvantage of traditional data mining, the importance and inevitability of expert mining are pointed out. 在简要分析传统数据挖掘方法不足的基础上，提出专家挖掘的必然性和重要性。 www.ceps.com.tw 6. The algorithm can be a better solution to the insurance industry in data mining large data volume and high efficiency requirements. 该算法能够更好地解决保险行业数据挖掘中数据量大，效率要求高的问题。 www.fabiao.net 7. Consumers of XML data returned from data-mining queries are often interested only in the data changes made since a previous query. 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。 www.ibm.com 8. Rough set, with its ability in dealing with uncertainty and vagueness, is widely applied in the study of data mining. 粗糙集理论以其出色的处理模糊和不确定知识的能力，成为数据挖掘研究中的有力工具。 www.magsci.org 9. Finally, detailed illustration with examples is made to the application of deepening customer relationship management via data mining. 最后用一个实例：利用数据挖掘技术分析彩铃用户实现了增值业务的交叉营销。 www.fabiao.net 10. This article also has implemented some of investigation, the pre-process before data mining and outcome assessment after data mining. 本文对数据挖掘前的数据预处理和数据挖掘后的结果评价与展现也进行了一定的研究。 www.fabiao.net 1. However, data mining tools have been developed that allow better analysis and interpretation of the data. 然而，数据挖掘工具已经开发出来，使得有更好的分析和对数据解释。 zhidao.baidu.com 2. As a new kind of data analysis and predict technique, data mining technology has attracted broadly attention in the recent years. 作为一种有效的数据分析及预测工具，数据挖掘在近年来得到了广泛的关注。 www.fabiao.net 3. Returns sample cases that are representative of the cases that are used to train the data mining model. 返回示例事例，用于代表为数据挖掘模型定型所用的事例。 msdn2.microsoft.com 4. Study of Applying Techniques of Data Mining in Forest Resource Information Management. 运用数据挖掘技术分析森林资源信息的研究与探索。 graduate.bjfu.edu.cn 5. As we know, Data Mining has a large research scope, Cluster analysis is one of important research subject in it. 在数据挖掘技术中有很多研究领域，聚类分析就是其中一个重要的研究方向。 www.fabiao.net 6. Data mining technologies have become one of the research hotspots today. 数据挖掘技术是近几年的一个研究热点。 www.fabiao.net 7. It has been widely used in the area of AI, data mining, pattern recognition, fault diagnostics, etc. 目前已在人工智能、知识与数据发现、模式识别与分类、故障检测等方面得到了广泛应用。 d.wanfangdata.com.cn 8. The Data Mining Extensions ( DMX ) language provides statements that you can use to create , train, and use data mining models . 数据挖掘扩展插件（DMX）语言提供了一些语句，您可以使用这些语句创建、定型和使用数据挖掘模型。 www.bing.com 9. After you select the model, you can create data mining prediction queries that provide data to a report. 选择模型后，可创建向报表提供数据的数据挖掘预测查询。 msdn2.microsoft.com 10. Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and graph. 频繁模式挖掘是数据挖掘领域的一个重要方面，研究内容一般包括事务、序列、树和图。 www.juhe8.com 1. Each memory inte*ce includes a memory controller, a write buffer, a read cache, and a data mining module. 每个存储器接口都包括存储器控制器、写缓冲器、读高速缓冲存储器和数据挖掘模块。 www.sinopat.org 2. A set of known and predictable data used to train a data mining model. 一组已知的可预测数据，用于为数据挖掘模型定型。 technet.microsoft.com 3. The paper proposed the application of a data mining algorithm in intrusion detection system. 文章讲述了一种基于关联规则的数据挖掘算法在入侵检测系统中的应用。 www.ceps.com.tw 4. Implementations would likely provide a mechanism for performing arbitrarily complex data- mining operations on annotation data . 实现可能将提供对注释数据执行任意复杂的数据挖掘操作的机制。 www.bing.com 5. Firstly, we develop some new methods on the basis of graphical models, which has been widely used in data mining and multivariate analysis. 作为进行多变量数据分析的重要手段，“图模型”近年来得到了人们的广泛关注，并被应用于许多重要领域。 lunwenfudao.com 6. Data mining techniques of cluster analysis and principal component analysis to explore the massive monitoring data processing technology. 应用数据挖掘技术中的聚类分析和主成分分析方法，探讨海量监测数据的处理技术，从而达简化监测数据规模的目的； www.fabiao.net 7. Data mining gives you access to the information that you need to make intelligent decisions about difficult business problems. 数据挖掘使您得以访问对困难业务问题作出明智决策所需的信息。 msdn2.microsoft.com 8. The decision tree is a frequently-used classification method in data mining, it is easy to understand and large in scope to apply. 决策树是数据挖掘技术中一种常用的分类方法，易于理解，应用范围广泛。 kns50.chkd.cnki.net 9. On the toolbar of the Mining Model Prediction tab of Data Mining Designer in Business Intelligence Development Studio, click Result. 在BusinessIntelligenceDevelopmentStudio的数据挖掘设计器中，单击“挖掘模型预测”选项卡工具栏上的“结果”。 msdn2.microsoft.com 10. People spend an entire semester on statistics and an entire semester on data mining, and only then are they considered "beginners. " 花上整整一学期的时间去学习数据统计和数据挖掘的人也只能被称为“初学者”。 www.ibm.com 1. to increase the understanding of students ' achievements , this study applied data mining techniques to discover those information. 藉由资料探勘技术，我们可以从中找出学生感兴趣的课程组合，并掌握学生的学习成效。 www.ichacha.net 2. Recently, with the progress of Data Mining, clustering becomes a very active filed of Data Mining for its special advantages. 近年来，随着数据挖掘的发展，聚类以其特有的优点，成为数据挖掘研究领域中一个非常活跃的研究课题。 www.juhe8.com 3. So obtaining valuable information form WWW by data mining technology, improving serving efficiency of WWW has tremendous application values. 因此，采用数据挖掘技术从WWW上提取出有价值的知识，提高WWW的服务效率，具有十分重要的现实意义和广泛的应用前景。 www.juhe8.com 4. Currently the Business Intelligent System includes four parts, which are Data Collection, Data Warehouse, Data Mining and OLAP. 目前的商务智能系统主要包括数据收集、数据仓库、数据挖掘和OLAP联机分析四个部分。 www.fabiao.net 5. Mining models that were created by using aggregated data mining providers cannot be migrated. 无法迁移使用聚合数据挖掘提供程序创建的挖掘模型。 msdn2.microsoft.com 6. Data Mining Extensions (DMX) is the language used to create and work with data mining models in SSAS. 数据挖掘扩展插件（DMX）语言用于在SSAS中创建和处理数据挖掘模型。 technet.microsoft.com 7. The application of the data mining technology based on customer relation management still belongs to a brand-new field at home. 数据挖掘技术在客户关系管理中的应用在国内尚属一个全新的领域。 www.magsci.net 8. The tracking of drifting concept from data streams has recently become one of hot spots in data mining. 数据流上的漂移概念发现已成为数据挖掘领域的研究热点之一。 oldweb.cqvip.com 9. Database technology, AI and Statistics have been developing and integrating. As a result, Data mining(DM) emerged as the times require. 由于数据库技术、人工智能和数理统计等技术的不断发展与融合，数据挖掘技术应运而生。 www.fabiao.net 10. InfoSphere Warehouse contains highly efficient implementations of almost all current data mining algorithms. InfoSphereWarehouse几乎包含目前所有数据挖掘算法的极为高效的实现。 www.ibm.com 1. This paper associates attributive value reduction with data mining and proposed three concepts: support, confidence and coverage. 将属性值约简和数据挖掘相结合，给出支持度、置信度、覆盖度的定义。 kns50.chkd.cnki.net 2. Then the main aggregation techniques were analyzed and reviewed, including aggregation routings, aggregate functions and data mining. 然后分析和综述了主要的数据汇聚技术，包括汇聚路由、聚集函数、数据挖掘； www.ceps.com.tw 3. In the dissertation, the research involves power quality disturbance detection and identification by wavelet transform and data mining. 本课题结合小波变换技术和数据挖掘理论对电能质量扰动检测与识别进行了研究。 www.fabiao.net 4. The purpose of data mining is to discovery hidden and useful knowledge which can support the science decision from huge amounts of data. 数据挖掘的任务是从海量数据中发现隐含的有用知识，为科学决策提供支持。 www.fabiao.net 5. A data mining model configuration in which a column of a table contains a table. 数据挖掘模型配置，其中一个表的一列包含一个表。 technet.microsoft.com 6. Firstly we introduced the methods and examples of the clustering analysis, the association analysis and the decision tree for data mining. 文章首先介绍了聚类分析、关联分析、决策树三个数据挖掘方法及实例。 www.bjbme.cn 7. This study provides an effective granular computation model for the data mining of incompatible information systems. 本研究为非协调信息系统的知识挖掘提供了一个有效的粒计算模型。 www.joces.org.cn 8. The potential and useful information in massive disordered data can be acquired through data mining. 通过数据挖掘技术可以得到看似杂乱的数据间存在的潜在的、有用的信息。 www.fabiao.net 9. Clustering is an important area for research in Data Mining, and also an important method in data partition or data grouping. 聚类分析是数据挖掘中的一个重要研究领域，是一种数据划分或分组处理的重要手段和方法。 www.fabiao.net 10. This paper adopted Data mining and Social Network Analysis analyzing a small shopping site of the customer and product data. 本文采用了社会网络挖掘技术对某小型购物网站中的一个版块中的顾客和产品之间的数据信息进行分析。 www.fabiao.net 1. Active incremental data mining is implemented by applying the trigger mechanism of the database to invoke procedures. 主动增量挖掘利用数据库的触发器机制调用存储过程来实现。 www.fabiao.net 2. Gradually mature data mining technology for telecommunications enterprises to achieve these goals possible. 逐渐成熟的数据挖掘技术为电信企业实现这些目标提供了可能。 www.13191.com 3. Analysis Services includes the tools for creating and managing online analytical processing (OLAP) and data mining applications. AnalysisServices包括用于创建和管理联机分析处理（OLAP）以及数据挖掘应用程序的工具。 technet.microsoft.com 4. Data mining can be regarded as a collection of methods for discovery useful pattern from large databases. 数据开采是利用现代统计学知识和计算知识从大型数据库中发现潜在的有用模式的学科。 www.dictall.com 5. You can use Data Mining Extensions (DMX) statements to perform each of these tasks programmatically. 可以使用数据挖掘扩展插件（DMX）语句，以编程方式执行上述每个任务。 technet.microsoft.com 6. Data mining is the new subjects developed with the mature of the data base and the advances of the computer storage technology recently. 数据挖掘是近年来随着数据库技术的成熟和计算机存储技术的新发展而出现的一门新兴学科。 kns50.chkd.cnki.net 7. Organizations are using data mining to enhance decisions about customer preferences, sales trends, and marketing programs. 组织是使用数据采矿提高关于客户偏爱的决定，售卖趋势，和行销计画。 iask.sina.com.cn 8. The Data Mining Designer provides an environment that you can use to create, explore, and work with data mining models. 数据挖掘设计器提供了一种可用于创建、浏览和使用数据挖掘模型的环境。 msdn2.microsoft.com 9. By utilizing database and data mining techniques, the algorithm is set up for the losses. 应用数据库知识和数据挖掘技术，提出这两类单程票流失的算法。 www.ceps.com.tw 10. Thus, maximizing the benefit from text information becomes a very crucial problem in multimedia data mining area. 这使得最大化利用文本信息来帮助进行多媒体信息抽取成为多媒体数据挖掘领域的一个新颖而关键的课题。 www.boshuo.net 1. This paper described the actual application of data mining in banking customer segmentation, and also discussed its effectiveness. 本文阐述了数据挖掘技术在银行客户细分中的具体应用，并对其有效性进行了探讨。 www.qikan.com.cn 2. The author participated this project to realize an intelligence search engine with nature language process and data mining capability. 作者参与实现了这个具有自然语言理解和信息挖掘能力的搜索引擎项目。 www.fabiao.net 3. The emerging data mining is one of such techniques. 数据挖掘就是这样一种技术。 www.magsci.org 4. In data mining, the element of a case by which the case is referenced within a case set. 数据挖掘中事例的元素，通过该元素在事例集内引用该事例。 technet.microsoft.com 5. On the Select the Data Mining Technique page, select the data mining algorithm that you want to use, and then click Next. 在“选择数据挖掘技术”页中，选择要使用的数据挖掘算法，再单击“下一步”。 msdn2.microsoft.com 6. The process a data mining model uses to estimate model parameters by evaluating a set of known and predictable data. 数据挖掘模型用于通过计算一组已知和可预测的数据来估计模型参数的过程。 technet.microsoft.com 7. This overview topic provides information about common migration considerations that relate to data mining and the Analysis Services engine. 此概述主题提供与数据挖掘和AnalysisServices引擎相关的一般迁移注意事项的有关信息。 msdn2.microsoft.com 8. Due to the data mining relates to many knowledge fields and it also has mangy methods, so it has many classify methods. 由于数据挖掘涉及的学科领域和方法很多，所以就有多种分类方法。 www1.chkd.cnki.net 9. At present, analyzing and mining the opinions of bloggers embedded into blogs become one of hotspots in the research field of data mining. 分析和挖掘博客中蕴含的博客作者的观点成为当前数据挖掘领域研究热点之一。 www.fabiao.net 10. This paper applies data mining technology in computer mathematics curriculum to analyze its competence development. 文章利用数据挖掘技术分析了计算机数学课程能力的培养。 www.ceps.com.tw 1. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. 这本书是适合学生及研究人员统计，计算机科学，数据挖掘和机器学习。 www.ccemagz.com 2. Association rules is widely used in data mining to find patterns in data. The typical example is shopping basket analyse. 关联规则方法在数据挖掘领域被广泛应用，它主要用于发现有用的模式，典型的例子就是购物篮分析。 www.bing.com 3. As the important area of data mining research, time-series data mining and forecasting have developed greatly. 作为数据挖掘的重要研究课题之一，时间序列的挖掘与预测近几年发展迅速。 www.fabiao.net 4. In recent years, data mining has drawn much attention and has been widely used in many ways, and achieved good results. 近年来，数据挖掘引起了各界的极大关注，已经广泛应用于很多方面，并且取得了很好的成果。 www.qikan.com 5. Thus text data mining, as a new subject, has gradually become a remarkable and fast developed area. 因此，文本数据挖掘作为一门新兴学科，逐渐成为了一门引人注目、发展迅速的领域。 www.fabiao.net 6. By reduction processing to the import space, this method adopts artificial neural network for data mining on the reduced training data. 通过属性约简技术对神经网络的输入属性空间进行约简，采用神经网络对约简后的数据进行挖掘。 www.fabiao.net 7. The Data Mining Wizard defines a mining structure and mining model for an Analysis Services project. 数据挖掘向导用于为AnalysisServices项目定义挖掘结构和挖掘模型。 msdn2.microsoft.com 8. Therefore, the analyze should be finished by computers, which use data mining method to do it. 所以必须利用计算机，通过数据挖掘的方法来进行分析。 lib.cqvip.com 9. Data mining is invoked by first writing the data into a table. 要调用数据挖掘，首先要将数据写到一个表中。 www.ibm.com 10. The first chapter has summarized development history, present situation, application and development tendency of data mining. 第一章简述了数据挖掘的发展历史、现状、应用和发展趋势。 lib.sdie.edu.cn 1. Walmart (WMT) uses data-mining services to collect and store information for all its customers in a central location. 沃尔玛（WMT）利用数据挖掘服务来收集所有的客户信息并存储在一个中央控制系统中。 www.bing.com 2. After you use the Data Mining Wizard to create a mining structure and an initial mining model, the Data Mining Designer opens. 在使用数据挖掘向导创建了挖掘结构和初始挖掘模型后，便会打开数据挖掘设计器。 msdn2.microsoft.com 3. Clustering analysis is an important part of the Data Mining research. 聚类分析在数据挖掘研究中占有重要的位置。 www.fabiao.net 4. A data mining technique that analyzes data to discover mutually exclusive collections of records that share similar attributes sets. 一种数据挖掘技术，用于对数据进行分析以找出共享相似属性集的互斥记录集合。 technet.microsoft.com 5. DWE integrates core components for warehouse administration, data mining, OLAP and inline 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。 www.ibm.com 6. Using data mining techniques can access to the correct, interesting and potentially valuable knowledge from the large-scale data. 利用数据挖掘技术能够从大规模的数据中获取正确的、有趣的、潜在有价值的知识。 www.fabiao.net 7. It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation. 其本身就是一个空间知识发现和挖掘的过程，实质可归结为基于GIS的油气储层评价建模问题。 www.agoil.cn 8. This paper introduces the function of data mining in logistics management and analyzes the processes in data mining and the key technology. 本文介绍了数据挖掘技术在物流管理决策中的作用，分析了数据挖掘在物流管理信息中的挖掘过程及实现的关键技术。 www.ceps.com.tw 9. Data mining is the necessary result for the pervasion and integration of the modem technologies. 数据挖掘是目前信息技术中的研究热点，它是现代科学技术相互渗透与融合的必然结果。 dictsearch.appspot.com 10. The main goal of most data mining projects is to use mining models to create predictions for new data. 大多数数据挖掘项目的主要目标是使用挖掘模型为新数据创建预测。 msdn2.microsoft.com 1. Data mining technology is one of the most important ways in researching the mass information processing. 而数据挖掘技术是人们研究海量信息处理的主要方法之一。 www.boshuo.net 2. Part 3 will bring the " Data mining with WEKA" series to a close by finishing up our discussion of models with the nearest-neighbor model. 第3部分是“用WEKA进行数据挖掘”系列的结束篇，会以最近邻模型结束我们对模型的讨论。 www.ibm.com 3. This data must be collected and transformed to enable it for data mining. 这种数据必须在收集后进行转换，使之能用于数据挖掘。 www.ibm.com 4. In this article, we mainly discuss data mining technology and its use on Tax quota ratification system . 本文主要探讨了基于多目标规划的数据挖掘算法及其税务税额核定中的应用。 www.fabiao.net 5. Some examples are used to show the usefulness of verb decision tree to data mining of historical records of dynamical processes. 同时，本文通过一些具体实例来说明动词决策树对于动态过程历史记录的数据挖掘非常有效。 www.yangsky.org 6. This article went over the fourth-common data mining algorithm, "Nearest Neighbor. " 本文探究了第四种常见的数据挖掘算法，“最近邻”。 www.ibm.com 7. She presented her new methods in August at the International Conference on Knowledge Discovery and Data Mining in San Jose, Calif. 八月份她在加利福尼亚国际学术和数据开发研讨会上介绍了她的新方法。 blog.sina.com.cn 8. Use Data Mining Designer to remove columns from a mining structure after it has been defined in the Data Mining Wizard. 在数据挖掘向导中定义了挖掘结构之后，可以使用数据挖掘设计器删除挖掘结构中的列。 www.juyy.net 9. Clustering denotes a data mining technique that groups data records into clusters of pair-wise similar records by their properties. 集群是一种数据挖掘技术，这种技术根据数据记录的属性将相近的数据记录指定到集群中。 www.ibm.com 10. Decision tree is one of heated fields in data mining, and it is a widely-used solution for classification problems. 决策树算法是数据挖掘中的一个比较活跃的研究领域，是对分类问题进行深入分析的一种方法。 kns50.chkd.cnki.net 1. This paper introduces the theory and correlative conception of search engine first, then introduces the conception of data mining. 文章首先介绍了搜索引擎的工作原理和相关概念，然后介绍了数据挖掘的概念。 epub.cnki.net 2. However, for the average user, clustering can be the most useful data mining method you can use. 不过，对于一般的用户，群集有可能是最为有用的一种数据挖掘方法。 www.ibm.com 3. This paper discusses the relating problems about data mining and its application in E business. 本文论述了一种信息处理利用的有效工具-数据挖掘的有关问题及其在电子商务中的应用。 www.ceps.com.tw 4. l Mathematical models and algorithms for inventory management, production scheduling, and data mining. 针对资产管理、生产调度和数据挖掘的数学模型和算法技术。 blog.sina.com.cn 5. The framework was scalable to conduct cyberspace data mining and situational apperception effectively. 该系统具有可扩展性，能有效进行宏观网络的数据挖掘和实时势态感知。 dictsearch.appspot.com 6. The main task of data mining is data analysis and processing, gains the implicit, prior unknown and useful knowledge. 数据挖掘的主要任务就是对数据进行分析处理，从而获得其中隐含的、事先未知的而又有用的知识。 www.fabiao.net 7. The data mining dimension is created and is added to the Dimensions folder in Solution Explorer. 这样便可创建数据挖掘维度并将其添加到解决方案资源管理器中的“维度”文件夹。 msdn2.microsoft.com 8. They are roughly analogous to your most popular products that you can determine without data mining. 他们与您不用数据挖掘就能决定的最受欢迎的产品有些相似。 www-128.ibm.com 9. One of the important techniques of data mining ? similarity search is used in this thesis. 本文主要使用数据挖掘中的一个重要技术——相似搜索来进行价格预测。 www.fabiao.net 10. Data mining means extracting or "mining" knowledge from large amounts of data to achieve the effective utilization of data resources. 数据挖掘就是从大量的数据中提取或者“挖掘”知识，从而实现对数据资源的有效利用。 www.ceps.com.tw 1. Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. 多媒体数据采掘是从大型多媒体数据库中提取高层的多媒体信息及知识。 elec.wanfangdata.com.cn 2. Data Mining Templates for Visio: This add-in enables you to render and share your mining models as annotatable Visio 2007 drawings. Visio的数据挖掘模板：此插件让你可以使用可注解的Visio绘图来呈现和共享你的数据挖掘模型。 www.infoq.com 3. Then gives a brief introduction of the basic concepts of quality management and data mining and builds a data set for mining. 然后在简要介绍产品质量管理和数据挖掘的基本概念的基础上，针对某一实际企业建立了数据挖掘数据集市模型； www.sciencenet.cn 4. Large data sets with escalating complexity have pushed traditional data mining techniques to new levels of processing demand. 复杂性不断提升的大型数据集已经将传统的数据挖掘技术推向新层次的处理要求。 www.ibm.com 5. Data warehouse, On-line analytical processing, Data mining technology have provided an effective way in solving this problem. 数据仓库、联机分析处理、数据挖掘技术的发展为解决这一问题提供了有效途径。 www.fabiao.net 6. This paper combines data mining technology with human network for enterprise intelligence collection. 本文将数据挖掘技术与人际网络相结合来实现企业竞争情报的采集。 www.ceps.com.tw 7. Remember, you are never going to be an expert in data mining unless you want to spend 20 years doing it. 请记住，您永远不可能成为数据挖掘方面的专家，除非您打算用20年的时间来研究它。 www.ibm.com 8. Study of Self-organizing Data Mining Theory and the Complexity of Economic Systems. 自组织数据挖掘理论与经济系统的复杂性研究。 ilib.cn 9. The paper discusses data mining technology for customer segmentation and customer profiling in CRM environment. 讨论了在客户关系管理（CRM）中用于客户细分和建立客户轮廓的数据挖掘技术。 www1.chkd.cnki.net 10. Recent studies have extended the scope of data mining from relational and transactional databases to spatial databases . 数据挖掘的研究已从关系型和事务型数据库扩展到了空间数据库。 dictsearch.appspot.com 1. Using Data Mining Web Controls, you can browse complex mining models from any computer that has Microsoft Internet Explorer installed. 使用数据挖掘Web控件，您可以在任一安装了MicrosoftInternetExplorer的计算机上浏览复杂的挖掘模型。 msdn2.microsoft.com 2. The using of the data-mining tech would improve the work efficiency and the management of the insurance institutions. 数据挖掘技术的应用，可以大大提高保险机构管理人员的工作效率和管理水平。 www.13191.com 3. Association rules mining is a key issue in data mining. It discovers and analyses the associations among different sets of data items. 关联挖掘是数据挖掘中的一个重要问题，是发现和分析不同数据项之间的关联性的过程。 www.fabiao.net 4. Data Mining Web Controls Library is a library intended to extend the data mining user experience in Analysis Services to the Web. 数据挖掘Web控件库用于使数据挖掘用户的操作范围能够从AnalysisServices扩展到Web。 msdn2.microsoft.com 5. Finally, upon summarizing the research results and deficiencies, the prospect of spatial data mining is elaborated. 最后，在总结本文研究成果和不足之处的基础上阐述了空间数据挖掘的前景。 www.juhe8.com 6. Mining association rules from large databases plays an essential role in many data mining tasks and has broad applications. 基于关联规则的挖掘是其中一个重要的研究方法，具有重要的理论价值和广泛的应用前景。 www.showxiu.com 7. Cluster analysis with a wide range of applications is very important for data mining. 聚类分析作为数据挖掘中的重要技术，具有广泛的应用领域。 www.13191.com 8. Experience in BI, Data Mining, ETL, large scale data warehouse implementation is an asset. 最好有商业智能、数据挖掘、ETL、大型数据仓库的实现经验。 www.alsox.com 9. Since there are so many techniques with data mining, the major step to creating a good model is to determine what type of technique to use. 由于现在已经有很多数据挖掘技术，因此创建一个好的模型的最主要的步骤是决定要使用哪种技术。 www.ibm.com 10. So in facing of challenge of "Much data, but little information" , there come Data Mining (DM) and Knowledge Discovery in Database (KDD). 因此，面对“数据丰富，但信息贫乏”的挑战，数据挖掘和知识发现技术应运而生。 www.fabiao.net 1. This thesis is focus on the correlative study of association rule data mining. 本文主要从事的是数据挖掘中关联规则的研究。 www.fabiao.net 2. Education has helped teachers on behalf of the data mining program, with good language and logical thinking. 曾帮助导师代教数据挖掘课程，具有良好的语言表达和逻辑思维能力。 emuch.net 3. This paper researches the compatibility of chinese medicine prescriptions by data mining techniques. 用数据挖掘技术研究了中药方剂配伍的规律。 www.lunwen99.com 4. On this basis, carry on the alloy pouring system to create the physical data warehouse and data mining. 在此基础上，进行了合金浇注系统数据仓库的物理创建和数据挖掘。 www.fabiao.net 5. In Data Mining Designer in Business Intelligence Development Studio , select the Mining Model Prediction tab . 在数据挖掘设计器中“挖掘模型预测”选项卡的“选择输入表”表上，单击“修改联接”。 www.bing.com 6. Data mining is frequently described as the process of extracting valid and actionable information from large databases. 数据挖掘通常被称为“从大型数据库提取有效、可行信息的过程”。 msdn2.microsoft.com 7. Integration Services offers a variety of components to assist you in managing and querying these data mining models. IntegrationServices还提供了许多组件，帮助您管理和查询这些数据挖掘模型。 msdn2.microsoft.com 8. Data Warehouse, Online Analytical Processing and Data Mining constitute the supporting technology for BI. 商业智能的支撑技术包括数据仓库、联机分析处理和数据挖掘。 www.fabiao.net 9. The data processing time-consumed by discernibility of matrix is predicted, and the feasibility of data mining experiment is forecasted. 推算可预知分辨矩阵法处理数据所消耗的时间，对数据挖掘实验的可行性进行预测。 terms.shengwuquan.com 10. The OLAP branch of the Data Mining Wizard includes the option to add nested tables to the mining model structure. 在数据挖掘向导的OLAP分支中，可以选择在挖掘模型结构中添加嵌套表。 msdn2.microsoft.com |
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