In pervasive computing environments, conditions are highly variable and resources are limited. In order to meet the needs of applications, systems must adapt dynamically to changi...
Farshad A. Samimi, Philip K. McKinley, Seyed Masou...
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...