From Data Mining to Knowledge Discovery in Databases

Authors

  • Usama Fayyad
  • Gregory Piatetsky-Shapiro
  • Padhraic Smyth

DOI:

https://doi.org/10.1609/aimag.v17i3.1230

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.

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Published

1996-03-15

How to Cite

Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From Data Mining to Knowledge Discovery in Databases. AI Magazine, 17(3), 37. https://doi.org/10.1609/aimag.v17i3.1230

Issue

Section

Articles