Firstly the deficiency of the personalization recommendation based on cluster mining technology was analyzed in detail.
首先，详细分析了目前基于聚类挖掘技术的个性化推荐方法的若干不足之处。
Such stored procedures do not only exist for cluster models but also for many other mining models.
这些存储过程不仅可以用于集群模型，还可以用于其他挖掘模型。
A query subject that USES a stored procedure to access the cluster information of the clustering model created by the mining algorithm.
查询主题使用存储过程访问由挖掘算法创建的集群模型的集群信息。
Cluster analysis is one of important techniques in data mining and exploratory data analysis.
聚类分析是数据挖掘和探索性数据分析中一个极为重要的技术。
Cluster analysis, as a module and function of data mining, is the main content of this paper.
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 is one of key technologies for data mining.
聚类分析是数据挖掘的主要技术之一。
Cluster arithmetic is a very important technology in the area of data mining.
聚类算法是数据挖掘领域中非常重要的技术。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
To study the application of fuzzy cluster analysis for medical image data mining.
研究模糊聚类分析在医学图像数据挖掘中的应用。
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。
Cluster analysis is a method of spatial data mining. Clustering algorithm can find some useful clustering structures directly from spatial data base.
聚类分析是空间数据挖掘的一种方法，聚类算法能从空间数据库中直接发现一些有用的聚类结构。
The key problem in distributed association rules mining is to cluster partition in distributed environment.
在分布式关联规则挖掘中，首先需要解决分布式环境下的聚类分区问题。
Introduces the basic conception of Data Mining and explains the hierachical cluster is a main function of Data Mining.
本文介绍了数据挖掘的基本概念，说明了聚类是数据挖掘的一个很重要的功能。
Cluster analysis is an important research problem in the domain of data mining.
在数据挖掘领域中，聚类分析是一项重要的研究课题。
Cluster analysis has become an active research topic in data mining areas at the present time.
聚类分析是数据挖掘领域中一个非常活跃的研究课题。
Cluster analysis is one of the important themes in data mining.
聚类分析是数据挖掘的一个非常重要的研究分支。
This paper brings forward an Email address cluster system based on data mining technology.
本文描述了一个基于数据挖掘技术的电子邮件地址聚类系统。
This paper presents a cluster method for discretization in the processing of mining quantitative association rules.
应用聚类方法研究了数量关联规则提取过程中的连续属性离散化问题。
Cluster, as an active research project in the area of data mining, has applied to customer segmentation.
聚类作为数据挖掘中一个非常活跃的研究课题，已有不少在客户细分中的探索和实践的实例。
The key problem in distributed association rules mining is to cluster partition in distributed environment. This paper presents an algorithm called D-CURE which is based on the principle of CURE.
在分布式关联规则挖掘中首先需要解决分布式环境下的聚类分区问题，该文基于CURE的工作原理，提出了D -CURE算法。
The document is a group of data mining areas, cluster analysis of the algor...
该文件是一组数据挖掘领域中，聚类分析的有关算法。
In this paper, we combine cluster method with mining association rules.
本文将聚类思想引入到关联规则挖掘中。
Researchers are getting more and more attentions to cluster analysis, since it involved in many fields such as statistics, data mining, machine learning and image processing, etc.
聚类分析涉及到统计学、数据挖掘、机器学习和图像处理等多个领域，人们对它研究热情日益高涨。
The authors have tried to apply fuzzy cluster analysis in fuzzy mathematics to predicting coal and gas outbursts in Pingdingshan mining area, which has been proved practical.
运用模糊数学中的模糊聚类分析方法对平顶山矿业集团某矿区煤与瓦斯突出预测进行了尝试，经实践验证是可行的。
The tasks of data mining include association rules analysis, time series module, cluster analysis, classification and predication and so on.
数据挖掘的任务有关联分析、时序模式、聚类、分类与预测等。
Technique of Cluster analysis in Data mining Tang Xiaoqin Dai Ruyuan Computer...
数据挖掘中聚类分析方法综述。
The main task of data mining includes correlation analysis, cluster analysis, classification, prediction, time-series pattern, deviation analysis and so on.
数据挖掘的任务主要有关联分析、聚类分析、分类、预测、时序模式和偏差分析等。
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。
In this paper, Cluster analysis techniques of data mining techniques were analyzed and discussed.
本文对聚类分析技术进行了详细的分析和探讨。
In this paper, Cluster analysis techniques of data mining techniques were analyzed and discussed.
本文对聚类分析技术进行了详细的分析和探讨。
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