Data Mining and Knowledge Discovery: A Review of Issues and a Multistrategy Approach

Simple item page
dc.contributor.authorMichalski, Ryszard S.
dc.contributor.authorKaufman, Kenneth A.
dc.date.accessioned2006-12-12T20:05:51Z
dc.date.available2006-12-12T20:05:51Z
dc.date.issued1997
dc.format.extent175844 bytes
dc.format.extent197066 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.identifier.citationMichalski, R. S. and Kaufman, K., "Data Mining and Knowledge Discovery: A Review of Issues and a Multistrategy Approach," Reports of the Machine Learning and Inference Laboratory, MLI 97-2, George Mason University, Fairfax, VA, 1997.
dc.identifier.urihttps://hdl.handle.net/1920/1834
dc.language.isoen_US
dc.relation.ispartofseriesP 97-3
dc.relation.ispartofseriesMLI 97-2
dc.titleData Mining and Knowledge Discovery: A Review of Issues and a Multistrategy Approach
dc.typeTechnical report

Files

Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
97-03.ps
Size:
171.72 KB
Format:
Postscript Files
Download
Thumbnail Image
Name:
97-03.pdf
Size:
192.45 KB
Format:
Adobe Portable Document Format
Download

Collections

Machine Learning and Inference Laboratory, College of Public Health