Ensemble Learning with Rapidminer: Applied Text Mining

Michael A. King, Virginia Tech
Robert L. Andrews, Virginia Commonwealth University

ABSTRACT
One of the most promising research areas in the field of data mining, with numerous text analysis applications, is ensemble machine learning techniques. These techniques are specific meta- algorithms that increase the accuracy of specific data mining classification algorithms such as artificial neural networks, K-nearest neighbor, and CART. Ensemble learning is a significantly more sophisticated approach to model estimation as compared to traditional techniques that evaluate accuracy based on hold-out samples or cross validation sampling.

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Updated 02/21/2015