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首页> 外文期刊>International Journal of Database Management Systems >Application of data mining techniques to a selected business organization with special reference to buying behavior
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Application of data mining techniques to a selected business organization with special reference to buying behavior

机译:将数据挖掘技术应用于选定的业务组织,并特别参考购买行为

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Data mining is a new concept & an exploration and analysis of large data sets, in order to discover meaningful patterns and rules. Many organizations are now using the data mining techniques to find out meaningful patterns from the database. The present paper studies how data mining techniques can be apply to the large database. These data mining techniques give certain behavioral pattern from the database. The results which come after analysis of the database are useful for organization. This paper examines the result after applying association rule mining technique, rule induction technique and Apriori algorithm. These techniques are applied to the database of shopping mall. Market basket analysis is performing by the above mentioned techniques and some important results are found such as buying behavior.
机译:数据挖掘是一个新概念,也是对大数据集的探索和分析,目的是发现有意义的模式和规则。现在,许多组织都在使用数据挖掘技术从数据库中找出有意义的模式。本文研究了如何将数据挖掘技术应用于大型数据库。这些数据挖掘技术从数据库中给出了某些行为模式。数据库分析后得出的结果对组织很有用。本文应用关联规则挖掘技术,规则归纳技术和Apriori算法对结果进行了检验。这些技术被应用于购物中心的数据库。市场篮分析正在通过上述技术执行,并且发现了一些重要结果,例如购买行为。

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