This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system.
Abstract. This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system.
This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system and ...
This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system.
Experimental tests were conducted with a real world data set from the intensive care medicine. The results demonstrate that the performance of DDM methods is.
Experimental tests were conducted with a real world data set from intensive care medicine. The results demonstrate that the performance of DDM methods is ...
Experimental tests were conducted with a real world data set from intensive care medicine. The results demonstrate that the performance of DDM methods is ...
Experimental tests were conducted with a real world data set from the intensive care medicine in order to predict the outcome of the patients. The results ...
The GB model showed better performance than other machine learning models (CART, LR, MARS, and RF) in predicting the mortality of patients in the intensive care ...