Current Slide

Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.

References (cont')

  • T.-S. Lim, W.-Y. Loh, and Y.-S. Shih. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning, 2000.
  • J. Magidson. The Chaid approach to segmentation modeling: Chi-squared automatic interaction detection. In R. P. Bagozzi, editor, Advanced Methods of Marketing Research, Blackwell Business, 1994.
  • M. Mehta, R. Agrawal, and J. Rissanen. SLIQ : A fast scalable classifier for data mining. EDBT'96.
  • T. M. Mitchell. Machine Learning. McGraw Hill, 1997.
  • S. K. Murthy, Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey, Data Mining and Knowledge Discovery 2(4): 345-389, 1998
  • J. R. Quinlan. Induction of decision trees. Machine Learning, 1:81-106, 1986.
  • J. R. Quinlan and R. M. Cameron-Jones. FOIL: A midterm report. ECML’93.
  • J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
  • J. R. Quinlan. Bagging, boosting, and c4.5. AAAI'96.


Speaker notes:

Content Tools

Sources

There are currently no sources for this slide.