8. Ensemble Learning

  1. Mehmed Kantardzic

Published Online: 5 OCT 2011

DOI: 10.1002/9781118029145.ch8

Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

How to Cite

Kantardzic, M. (2011) Ensemble Learning, in Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118029145.ch8

Author Information

  1. University of Louisville, USA

Publication History

  1. Published Online: 5 OCT 2011
  2. Published Print: 29 JUL 2011

ISBN Information

Print ISBN: 9780470890455

Online ISBN: 9781118029145

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Keywords:

  • ensemble learning, methodologies;
  • bagging and boosting;
  • AdaBoost, “adaptive boosting”

Summary

This chapter contains sections titled:

  • Ensemble-Learning Methodologies

  • Combination Schemes for Multiple Learners

  • Bagging and Boosting

  • AdaBoost

  • Review Questions and Problems

  • References for Further Study