Ensemble Data Mining Methods

@inproceedings{Oza2009EnsembleDM,
  title={Ensemble Data Mining Methods},
  author={Nikunj C. Oza},
  booktitle={Encyclopedia of Data Warehousing and Mining},
  year={2009}
}
  • Nikunj C. Oza
  • Published 2009 in Encyclopedia of Data Warehousing and Mining
INTRODUCTION Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve better prediction accuracy than any of the individual models could on their own. The basic goal when designing an ensemble is the same as when establishing a committee of people: each member of the committee should be as competent as possible, but the members should be complementary to one another. If the members are… CONTINUE READING
Highly Cited
This paper has 28 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
10 Citations
17 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…