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数据挖掘在商务中的应用 被引量:2

Application of Data Mining in Business
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摘要 随着数据挖掘技术的不断改进和数据挖掘工具的不断完善,数据挖掘必将在各行各业中得到广泛的应用.该文首先介绍数据挖掘的常用模式和常用的解决方案,并着重介绍关联规则、多层和多维规则以及聚类分析在商务中的应用. Along with data mining technology improvement and data mining tool consummation, data mining will be widely used in all trades and professions. This paper first introduces the usual model and solution of data mining , mainly introduces the application in business of association rules, multi-dimensional and multi-level rules, and clustering analysis.
作者 李新仕
机构地区 广西财经学院
出处 《广西师范学院学报(自然科学版)》 2004年第3期69-74,共6页 Journal of Guangxi Teachers Education University(Natural Science Edition)
关键词 数据挖掘(DM) 关联规则 联机分析处理(0LAP) 聚类分析 data mining(DM) association rule online analytical processing(OLAP) clustering analysis
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