1996 FromDataMiningToKDInDBs

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Subject Headings: Data Mining Discipline.

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Abstract

  • 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.

Data Mining and KDD

The Interdisciplinary Nature of KDD


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
1996 FromDataMiningToKDInDBsUsama M. Fayyad
Gregory Piatetsky-Shapiro
Padhraic Smyth
From Data Mining to Knowledge Discovery in DatabasesAI Magazinehttps://www.aaai.org/aitopics/assets/PDF/AIMag17-03-2-article.pdf1996