For additional ways to increase your knowledge about data mining, plan to check the Resources.
关于增加您的数据挖掘知识的其他方法，请参阅参考资料。
Using these tools, and following some of the examples that have been given, you now have a good base level of knowledge so you can begin to work on data mining a website.
通过这些工具，结合本文提供的一些示例，现在您已经拥有了良好的知识基础，可以开始对某个网站进行数据挖掘了。
Moreover, tools can partially automate asset harvesting - for instance, mining tools extracting architectural knowledge from project artifacts.
除此之外，工具能够部分地自动化生成资产 ——比如，从项目工件中提取出架构知识的挖掘工具。
Data Mining (DM) is the knowledge discovery from databases.
数据挖掘(DM)是从数据库中发现知识。
This paper expands the application area of OLAP, and it can also supply auxiliary support to potential knowledge Data Mining about basic research products.
本文拓展了OLAP技术的应用领域，为挖掘基础研究成果数据的潜在知识提供辅助支持。
This paper introduces the basic knowledge of data warehouse and its analytical tools: OLAP and data Mining.
介绍了数据仓库的基础知识，以及相关的分析工具：OLAP和数据挖掘。
Data Mining Technology, a tool that can discover information and knowledge in large data set, is used many fields, including anomaly detection.
数据挖掘是帮助人们在海量数据中发现信息和知识的工具，广泛应用到各个领域，包括异常检测。
Traditional DM (data Mining), basically, is a data-analyzing tool for local data at present and only can produce few of generalized or understood knowledge from local datasets.
传统的数据挖掘基本上是一个本地的数据分析工具，仅能对本地数据集产生一定的理解性或概括性的知识。
This project studied the key technologies for the management of XML documents, including the storage and query of XML documents, the semantics of XML documents, and the knowledge mining, etc.
本项目研究XML文档管理的若干关键技术，包括XML文档的存储与查询，XML数据的语义，针对XML数据的知识挖掘等。
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。
So, knowledge discovery and data mining are proposed with a new study field developed.
因此，知识发现和数据挖掘应运而生，成为一个新的研究领域。
The knowledge discovery and data mining tool display their strong points in handling the great capacity database.
知识发现及数据挖掘工具在处理海量数据库时显示了它们的长处。
Rough sets theory was used widely to artificial intelligence, pattern recognition, data mining and knowledge discovery etc fields.
粗糙集理论被广泛应用于人工智能、模式识别、数据挖掘和知识发现等领域。
Rough set theory, a powerful tool to deal with incomplete information, has been widely used in the area of artificial intelligence, especially in data mining and knowledge discovery.
粗糙集理论作为一种处理不完备信息的有力工具，已广泛应用于人工智能的许多领域，特别是数据挖掘和知识发现领域。
Association rule mining which is a method of data mining reveals the latent information and knowledge.
作为一种数据挖掘的方法，关联规则揭示了数据中隐藏的信息和知识。
This paper introduces neural networks technology based on data mining and knowledge discovery for inventory problems.
该文介绍了使用基于数据挖掘和知识发现的神经网络技术来解决库存问题的方法。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
Data mining (DM) is to extract knowledge from huge datasets, the purpose of which is to find the useful patterns hidden behind the data.
数据挖掘(DM)就是从大型数据集中抽取知识，其目的是发现深藏在一般数据之中的有用模式。
Spatial data mining technology offers valuable means for discovering knowledge in environmental database.
空间数据挖掘技术为环境数据库的知识发现提供了有效的途径。
Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.
决策表是一种特殊而重要的知识系统，在决策支持和数据挖掘等领域有着重要的应用。
The results show that the data mining technology oriented to FEM results provides an effectively novel method of knowledge acquisition in the field of plastic forming.
结果表明，面向有限元仿真结果的数据挖掘技术为塑性成形领域知识发现提供了一条有效的新途径。
CRM can use data mining technology to find useful and unknown knowledge, and classify customers by using a clustering tool.
CRM利用数据挖掘技术发现客户数据背后隐藏的、有用的、未曾预料的知识。
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。
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。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
In this paper, after making a analysis of the relate field of data mining and its basic questions, we provide a new method for knowledge discovery.
本文分析了数据挖掘技术的相关领域及其基本问题，为知识获取提供了一种新方法。
Text mining is an effective means of detecting potentially useful knowledge from large text database.
文本挖掘技术是从海量文本信息中获取潜在有用知识的有效途径。
Data mining, a new branch of study emerged recently, concentrates primarily on how to identify useful knowledge from massive data.
数据挖掘技术是一门近年来新兴的学科，它主要研究如何从大量数据中发掘出有用的知识。
Data mining, a new branch of study emerged recently, concentrates primarily on how to identify useful knowledge from massive data.
数据挖掘技术是一门近年来新兴的学科，它主要研究如何从大量数据中发掘出有用的知识。
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