KDD'99 competition: knowledge discovery contest

  • Authors:
  • Jim Georges;Anne H. Milley

  • Affiliations:
  • SAS Institute Inc, Irvine, California;SAS Institute Inc, Glastonbury, CT

  • Venue:
  • ACM SIGKDD Explorations Newsletter
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we expand on the 1998 KDD cup competition findings: exploratory data analysis reveals unusual data anomalies; a two-stage prediction model yields superior results those obtained in the 1998 competition; we use a decision tree better understand the model (the decision boundary); and we apply a confidence interval to establish a range upon which we can reasonably judge model performance.