The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Introducing Data Mining and Knowledge Discovery
|
Author(s): R. Sarker (University of New South Wales, Australia), H. Abbass (University of New South Wales, Australia)and C. Newton (University of New South Wales, Australia)
Copyright: 2002
Pages: 12
Source title:
Heuristic and Optimization for Knowledge Discovery
Source Author(s)/Editor(s): Hussein A. Abbass (University of New South Wales, Australia), Charles S. Newton (University of New South Wales, Australia)and Ruhul Sarker (University of New South Wales, Australia)
DOI: 10.4018/978-1-930708-26-6.ch001
Purchase
|
Abstract
The terms Data Mining (DM) and Knowledge Discovery in Databases (KDD) have been used interchangeably in practice. Strictly speaking, KDD is the umbrella of the mining process and DM is only a step in KDD. We will follow this distinction in this chapter and present a simple introduction to the Knowledge Discovery in Databases process from an optimization perspective.
Related Content
Murray Eugene Jennex.
© 2020.
29 pages.
|
Ronald John Lofaro.
© 2020.
18 pages.
|
Mark E. Nissen.
© 2020.
23 pages.
|
Ronel Davel, Adeline S. A. Du Toit, Martie Mearns.
© 2020.
32 pages.
|
Murray Eugene Jennex.
© 2020.
23 pages.
|
Michael J. Zhang.
© 2020.
21 pages.
|
Toshali Dey, Susmita Mukhopadhyay.
© 2020.
23 pages.
|
|
|