From Data Mining to Knowledge Discovery in Databases
From Data Mining to Knowledge Discovery in Databases
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DOI：
10.1609/aimag.v17i3.1230
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发表时间：
1996-03
期刊：
影响因子：
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通讯作者：
U. Fayyad;G. Piatetsky-Shapiro;Padhraic Smyth
中科院分区：
文献类型：
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作者：
U. Fayyad;G. Piatetsky-Shapiro;Padhraic Smyth
■ 数据库中的数据挖掘和知识发现最近吸引了大量研究、行业和媒体的关注。到底是什么令人兴奋？本文概述了这一新兴领域，阐明了数据库中的数据挖掘和知识发现如何相互关联以及如何与机器学习、统计和数据库等相关领域相关。本文提到了特定的现实世界应用、特定的数据挖掘技术、知识发现的现实世界应用中涉及的挑战以及该领域当前和未来的研究方向。
■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in databases are related both to each other and to related fields, such as machine learning, statistics, and databases. The article mentions particular real-world applications, specific data-mining techniques, challenges involved in real-world applications of knowledge discovery, and current and future research directions in the field.