客座编辑介绍:数据挖掘

G. Karypis
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引用次数: 7

摘要

数据挖掘是自动提取隐藏在大型数据集中的新知识和有用知识的过程。随着数据收集的进步导致可用数据量的爆炸性增长,这一新兴学科正变得越来越重要。数据挖掘技术主要帮助分析商业数据集,并在分析和理解有效的消费者关系管理、流程优化、个性化营销和客户细分的购买行为方面发挥关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guest Editor's Introduction: Data Mining
Data mining is the process of automatically extracting new and useful knowledge hidden in large data sets. This emerging discipline is becoming increasingly important as advances in data collection lead to the explosive growth in the amount of available data. Data mining techniques primarily help analyze commercial data sets and play a critical role in analyzing and understanding purchasing behaviors for effective consumer relations management, process optimization, personalized marketing, and customer segmentation.
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