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The data mining languages can be divided into three types: Inquire language, modeling language and all-purpose language. The first stage of data mining language is inquire languages, PMML is a modeling language, OLE DB for DM is a all-purpose language.

数据挖掘语言可以分为三种类型:查询语言、建模语言和通用语言,第一阶段的数据挖掘语言一般属于查询语言,PMML属于建模语言,OLE DB for DM属于通用语言。

Decision-tree arithmetic based on data mining technology was applied for the data in HIS.

应用数据挖掘技术的决策树算法对HIS中的数据进行挖掘

At present, the researches of data mining majority focus in the arithmetic of data mining and pay little attention to the quality questions of source data.

目前,数据挖掘的研究工作大多数着眼于数据挖掘算法上而很少关注源数据的质量问题。

The Kimberley Diamond Mine holds the title of being the largest hand-dug holein the world. From 1866 to 1914 50,000 miners dug the hole with picksand shovels, yielding 2,722 kg of diamonds.

金伯利钻石矿坑被认为是世界上最大的人力挖掘矿坑,从1866年至1914年,50000名矿工使用铁铲等工具进行挖掘,共挖掘出2722公斤钻石。

This article not to the data mining theory and the modeling method and so on make excessively many elaborations, also does not have the logarithm to make the meticulous discussion according to the warehouse construction aspect, but is puts with emphasis on in the data mining model choice and the design, in overseas had the research in the foundation, in the union corporate business analysis actual need, proposed the AVON company's customer value, the customer retention and the customer thin classify three data minings model; And executed has implemented the questionnaire survey and the method collection research data to various exclusive agencies customer which unified to member's telephone investigation, has carried on the confirmation and the appraisal in SQL Server 2,000 Analysis Service to the model.

本文没有对的数据挖掘理论及建模方法等作过多的阐述,也没有对数据仓库建设方面做过细的探讨,而是将重点放在数据挖掘模型的选择与设计上,在国外的已有研究的基础上,结合公司业务分析上的实际需要,提出了雅芳公司的客户价值、客户保持和客户细分等三个数据挖掘模型;并施行了对各专卖店的顾客实行问卷调查和对会员的电话调查相结合的方法收集研究数据,在 SQL Server 2000 Analysis Service中对模型进行了验证与评价。

This paper proposed a transformable model of EWDG (edge-weighted directed graph) and VWDG (vertex-weighted directed graph) to resolve the problem of weighted traversal patterns mining. Based on the model, developed a new algorithm, called LGTWFPMiner (local graph traversals-based weighted frequent patterns miner), and its local estimation of support/weight-hound to discover weighted frequent patterns from the traversals on graph with a level property.

为解决加权遍历模式挖掘问题,首先提出了一种从EWDG到VWDG的变换模型;基于这种模型,提出了在具有层次特性的局部图遍历中,挖掘加权频繁模式的LCTWFPMiner(局部图遍历加权频繁模式挖掘法)及其支持度/权值界的局部评枯方法。

Many works have been done about samplings application in data mining.

本文在总结现有相关工作的基础上,系统介绍了数据挖掘中抽样的应用及其相关问题,相信抽样在数据挖掘中的应用研究推动数据挖掘的发展。

The method is realized via the following steps: first to apply Isomap or LLE to get the embeddings of the original data set in the low dimensional space; then to obtain support vectors, which are the most significant and intrinsic data for the final classification result, by using support vector machine on these low dimensional embedding data; subsequently to get support vectors in the original high dimensional space based on the corresponding labels of the obtained low dimensional support vectors; finally to apply support vector machine again on these high dimensional support vectors to gain the final classification discriminant function.

数据挖掘是数据库知识发现中最重要的步骤之一,其目标是从获取的数据中高效准确地挖掘出我们所需要的信息。在实际应用中,数据往往呈现海量、高维、非线性等特性,这些特性给数据挖掘带来了很多问题,例如海量特性导致的计算效率低下问题、高维特性带来的维数灾难问题和非线性特性引起的线性模型失效问题等。幸运的是,实际中高维数据的属性之间往往存在一定的规律性和相关性,即实际数据经常存在着外在与内在两个维数。

ABSTRACT Data mining is an important area in KDD, and mining association rules in large databases is a critical aspect of data mining resea...

数据挖掘是当前KDD中的一个重要领域,而关联规则的挖掘是数据挖掘的一个重要组成部分。

And then the spatial predicates,possibly used in SDMKD from GIS,are analyzed and listed.Subsequently,the formal expression of spatial assoc...

从G IS数据库中挖掘空间关联规则的主要问题是多层、多关系的规则挖掘问题,不同专题图层不同空间对象之间空间谓词的高效计算与存储表达是解决问题的关键;把空间关系非空间化,将连续数据离散化,从而把求解问题转换成布尔型关联规则问题进行讨论,基于此而探讨了一种通过SJI-P表组织空间谓词,然后根据目标对象的概念层级自顶向下、逐层细化的空间关联规则挖掘方法。

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