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 1. Home /
 2. Archives /
 3. Vol. 17 No. 3: Fall 1996 /
 4. Articles


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
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Vol. 17 No. 3: Fall 1996


SECTION

Articles


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