In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
Chris Curry, Robert L. Grossman, David Locke, Stev...
Aspect-oriented programming (AOP) fosters the coding of tangled concerns in separated units that are then woven together in the executable system. Unfortunately, the oblivious nat...
We present an iterative, reading-based methodology for analyzing defects in source code when change history is available. Our bottom-up approach can be applied to build knowledge ...
Several relational approaches have been proposed to detect the changes to XML documents by using relational databases. These approaches store the XML documents in the relational d...