Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
In many of today's applications, access to storage constitutes the major cost of processing a user request. Data prefetching has been used to alleviate the storage access lat...
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
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...
Active engagement in the subject material has been strongly linked to deeper learning. In traditional teaching environments, even though the student might be presented with new con...