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应用于商业的数据挖掘算法概述

Outline of data mining algorithms applied in business
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摘要 随着科技的发展,信息技术的应用与商业领域的结合广为流行,并带来很大的利益。但是,商业中大量数据需要行之有效的处理方法。本文介绍了在商业中数据挖掘的重要性与必要性,重点介绍了数据挖掘中进行分类与预测的各类算法。 Recently, global governance and trade has been given greater attention. With the development of science and technology, the application of information technology and the combination of commercial areas are popular and brought about great benefits. However, a large amount of data in commercial requires effective treatments. In some cases, the data also requires trend prediction. This paper introduces the importance and necessity of data mining in the commercial, then a more specific diacuss focus on introduction of data mining in various types of classification and prediction algorithms.
作者 张晓瑷
出处 《农业网络信息》 2009年第5期96-97,101,共3页 Agriculture Network Information
关键词 数据挖掘 判定树归纳 SLIQ 算法 K-最临近分类 Data mining Tree induction Supervised learning in quest K-nearest neighbor
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