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。
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。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
With Google's new Correlate system, companies have a powerful (and, free!) new data-mining tool on their hands.
通过Google新的Correlate系统，企业手头上会有一个强大(并且，免费！)的新数据挖掘工具。
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。
Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference.
贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。
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。
Rough set as a classify theory of data mining is a strong mathematic tool dealing with uncertainty and incompleteness, and it can overcome the difficulty in getting knowledge existed before.
粗糙集作为数据挖掘方法的一种，是一种处理不精确或不完整信息的强有力数学工具，并且可以克服以往存在的知识获取瓶颈。
But, the concrete analysis method and analysis tool comes proceeding market basket analysis still blind spot on data mining realm.
但是，具体采用何种分析方法和分析工具来进行购物篮分析，目前在数据挖掘领域还是个盲点。
Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and data mining.
粗糙集理论是一种新的处理模糊和不确定性知识的数学工具，在人工智能及数据挖掘等众多领域已经得到了广泛的应用。
As an important method of data mining, rough set theory is a powerful mathematical tool to deal with uncertainty and noise.
约略集理论是一种能处理数据中不确定和噪音的有效数学工具，是数据挖掘的重要方法。
The data mining technology appearance has provided the powerful tool and the method to the information processing and gain.
数据挖掘技术的出现给信息的加工和获取提供了强有力的工具和手段。
Multidimensional scaling is a powerful tool for dimensionality reduction in the field of pattern recognition and data mining.
多维尺度分析是模式识别与数据挖掘领域一个有力的降维工具。
It often needs one to sift through mountains of data which a typical mining tool has missed because of the assumptions made in writing the mining algorithm.
它往往需要一个筛选数据的群山一个典型的挖掘工具，已经错过了，因为在写挖掘算法作出的假设。
Data stream mining has attracted many researchers 'attention and has become a useful tool for many fields.
近年来，数据流挖掘越来越引起研究人员的关注，已逐渐成为许多领域有用的工具。
Data mining technology is an effective tool to support the analyses of enterprise 's fund dispatcher and improve fund flowing effective.
数掘挖掘技术是支持企业资金调度决策分析和提高企业资金运营效果的有效工具。
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。
RS doesn't depend on additional information beyond the data set, which is a potent tool for dealing with vague, imprecise, incomplete and uncertain data, and is a new technology in Data Mining.
它不依赖于数据集之外的附加信息，是处理含有噪声、不精确、不完整数据的有力工具，是一种新的数据挖掘技术。
But data mining technology offered good tool for gaining useful information from the data.
数据挖掘技术的发生和发铺为从这些数据中获取有用知识提供了有力的工具。
Tranditional 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。
Clustering analysis is an important tool of Data Mining, and applied in many different application fields. Now, Clustering analysis has become an important research subject in Data Mining field.
聚类分析作为主要的数据挖掘工具已经被应用在许多领域，成为数据挖掘领域研究的一项重要课题。
Data mining technology is just a power tool for solving such problem.
而数据挖掘技术正是解决此问题的有力工具。
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。
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。
As an important section of data mining, clustering is an effective tool for analyzing large amount and complicate data and a major means for get intelligent decision-making information.
聚类分析作为数据挖掘技术的重要组成部分，是分析海量、复杂数据的有效工具，获取智能决策信息的主要手段。
Data stream mining is a new research aspect of data mining. It has be come a useful tool for many fields.
流数据挖掘是数据挖掘的一个新的研究方向，已逐渐成为许多领域的有用工具。
As an important unsupervised pattern recognition tool clustering analysis has been used in diverse fields such as data mining, biology, computer vision, document analysis.
聚类分析作为一种重要的非监督模式识别工具，可用于多种领域，如数据挖掘、生物学、计算机视觉、文档分析等。
Absrtact: as an excellent formal concept analysis tool, concept lattice has been applied in data mining, AI, and knowledge extraction.
摘要：概念格作为一种很好的形式化概念分析工具，被应用于数据挖掘、人工智能和知识提取等领域。
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。
Absrtact: Data stream mining has attracted many researchers 'attention and has become a useful tool for many fields.
摘要：近年来，数据流挖掘越来越引起研究人员的关注，已逐渐成为许多领域有用的工具。
应用推荐