Many text mining applications, especially when investigating Text Classification (TC), require experiments to be performed using common textcollections, such that results can be co...
Yanbo J. Wang, Robert Sanderson, Frans Coenen, Pau...
—applying the association rule into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification approac...
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
- Over the last twenty years, text classification has become one of the key techniques for organizing electronic information such as text and web documents. The k-Nearest Neighbor ...
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...