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. |
Updated 02/21/2015