1. On Issues of Instance Selection

   • Huan Liu
   • Hiroshi Motoda

   OriginalPaper Pages: 115 - 130

2. Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms

   • Carlos Domingo
   • Ricard Gavaldà
   • Osamu Watanabe

   OriginalPaper Pages: 131 - 152

3. Advances in Instance Selection for Instance-Based Learning Algorithms

   • Henry Brighton
   • Chris Mellish

   OriginalPaper Pages: 153 - 172

4. Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction

   • David Madigan
   • Nandini Raghavan
   • Greg Ridgeway

   OriginalPaper Pages: 173 - 190

5. A Unifying View on Instance Selection

   • Thomas Reinartz

   OriginalPaper Pages: 191 - 210