Clustering and Outlier Analysis For Data Mining (COADM)
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Authors
Seng, Choo Chwee
Chong, Ng Ee
Lian, Chua Ching
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Date of Issue
2009-03
Date
March 2009
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Abstract
The Clustering and Outlier Analysis for Data Mining
(COADM) tool is one of the three key components delivered
under the Systematic Data Farming (SDF) project [1]. SDF
was sponsored by the Singapore Armed Forces (SAF)
Centre for Military Experimentation (SCME) and was
completed in 2005.
Type
Article
Description
from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 6 Workshop 18
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.