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Using background knowledge with attribute-oriented data mining

Published • Jan 1, 1998
NobleIDNI0P07W85R25S52
Authors:
Sally McClean
,
B. Scotney
,
Mary Shapcott

Abstract

It is frequently the case that data mining is carried out in an environment which contains noisy and missing data. This a particularly likely to be true when the data were originally collected for a different purpose, as is often the case in data warehousing. The provision of tools to handle such im...

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