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')

  • R. Rastogi and K. Shim. Public: A decision tree classifier that integrates building and pruning. VLDB’98.
  • J. Shafer, R. Agrawal, and M. Mehta. SPRINT : A scalable parallel classifier for data mining. VLDB’96.
  • J. W. Shavlik and T. G. Dietterich. Readings in Machine Learning. Morgan Kaufmann, 1990.
  • P. Tan, M. Steinbach, and V. Kumar. Introduction to Data Mining. Addison Wesley, 2005.
  • S. M. Weiss and C. A. Kulikowski. Computer Systems that Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems. Morgan Kaufman, 1991.
  • S. M. Weiss and N. Indurkhya. Predictive Data Mining. Morgan Kaufmann, 1997.
  • I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques, 2ed. Morgan Kaufmann, 2005.
  • X. Yin and J. Han. CPAR: Classification based on predictive association rules. SDM'03
  • H. Yu, J. Yang, and J. Han. Classifying large data sets using SVM with hierarchical clusters. KDD'03.


Speaker notes:

Content Tools

Sources

There are currently no sources for this slide.