Volume 6, Issue 2 | Data Mining and Knowledge Discovery

Search all Data Mining and Knowledge Discovery articles

Volume 6, Issue 2

April 2002

Filter by

Volume:

Sort by

Date published:

New to old Old to new

5 articles in this issue

On Issues of Instance Selection
Huan Liu
Hiroshi Motoda
OriginalPaper Pages: 115 - 130
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
Carlos Domingo
Ricard Gavaldà
Osamu Watanabe
OriginalPaper Pages: 131 - 152
Advances in Instance Selection for Instance-Based Learning Algorithms
Henry Brighton
Chris Mellish
OriginalPaper Pages: 153 - 172
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction
David Madigan
Nandini Raghavan
Greg Ridgeway
OriginalPaper Pages: 173 - 190
A Unifying View on Instance Selection
Thomas Reinartz
OriginalPaper Pages: 191 - 210