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数据挖掘工具的英文

  • data mining tools

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  • 例句与用法
  • In short , the innovations of this research can be concluded as fomowings : ( 1 ) to take the lead in applying the newest data mining technique based - on the artificial intelligence in the traditional apparel expenditure behavior , which is not only unique in angle of view but also creative in the research methodology ; ( 2 ) to integrate each aspect of the household apparel consumption decision - making behavior within one system , then to apply the outcome into market practice ; ( 3 ) to take use of both the traditional statistic methods and data mining technique based - on hml to analysis apparel consumption decision - making behavior , which learn from others " strong points to offset one ' s weakness and achieve mastery through a comprehensive study of the subject
    具体迩一言,本研究的创新之处可以归纳为: ( 1 )率先将基于人工智能的数据挖掘最新技术和成果应用于传统的服装消费行为的研究,不仅视角独特而且在消费行为研究的方法论上有所突破。 ( 2 )利用数据挖掘工具将家庭服装消费行为的各个方面进行了系统的整合研究,突破了传统研究的单一性和局部性,从而挖掘真正代表消费者购买倾向的规则和模式,并将研究结果应用于市场实际操作加以验证,实现理论与实践的结合。 ( 3 )将以数理统计为中心的传统统计方法与以市场数据为中心的数据挖掘技术方法交叉应用于服装消费行为的实际问题研究,取长补短,融会贯通。
  • By taking in data mining theoretical fruit up to the minute to his mostly designing idea , referred to the realization approach of advanced data mining instrument abroad and domestic , and combined computer application practice of the domestic incorporation the idea is designed for concerned subject looking on first linear business manager as well as supervisor of medicine corporation
    其主要设计思想是吸收数据挖掘理论的最新成果,借鉴国内外先进数据挖掘工具的实现方式,结合国内企业的计算机应用实际,面向医药公司业务第一线的经营以及管理者所关心的主题进行设计的。
  • This tutorial walks you through scenarios for targeted mailing , forecasting , market basket analysis , and sequence clustering , to demonstrate how to use the data mining algorithms , mining model viewers , and data mining tools that are included in microsoft sql server 2005 analysis services ssas
    本教程将指导您演练目标邮件、预测、购物篮分析以及顺序分析和聚类分析等方案,阐释如何使用microsoft sql server 2005 analysis services ( ssas )提供的数据挖掘算法、挖掘模型查看器以及数据挖掘工具
  • This thesis expatiates on the state - of - the - art of dm technique , with emphasis on data mining algorithms such as clustering analysis , classification analysis , dependence analysis and statistical analysis . a comparative study of three popular dm tools ( ibm intelligent miner , spss clementine and sas enterprise miner ) is carried out . the future trends of dm technology are also revealed
    论文阐述了数据挖掘技术在国内外的研究现状,对目前主要的数据挖掘算法如聚类分析、分类分析、相关分析和统计分析进行了剖析,对当前最为流行的数据挖掘工具ibmintelligentminer 、 spssclementine及sasenterpriseminer进行比较分析,阐述了数据挖掘技术的未来发展趋势。
  • Olam makes full use of the advantage of olap and data mining , and overcomes the shortages of them . in this paper , the technique of visual data mining based - on olam can integrate the tools of data mining with the tools of visualization , and allow user join in the data mining process
    本论文所研究的基于olam的可视化数据挖掘技术将数据挖掘工具与可视化展现工具融为一体,并使用户与数据挖掘过程充分地交互,从而大大地提高数据挖掘的效率和质量,增加用户对结果模式的理解。
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Last modified time:Sat, 16 Aug 2025 00:29:56 GMT

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