Supervised Learning Classifier System for Grid Data Mining
Henrique Santos, Manuel Filipe, Wesley Mathew · InTech eBooks · 2011
New Fundamental Technologies in Data Mining 260 distributed site.The different strategies tested are Weighted Classifier Method (WCM), Specific Classifier Method (SCM), Generalized Classifier Method (GCM), and Majority Voting Method (MVM) (M.F, Santos et al, 2009).The remaining sections of this paper are organized as follows: Section 2 gives the background information about grid based supervised learning classifier systems.This section explains the grid data mining, distributed data mining, Supervised Classifier System (UCS), and GridClass learning classifier system.Section 3 explains the different methods for constructing and optimizing techniques for global model.Section 4 explains the experimental work and results.Experimental setup of Monk 3 problem and 11 multiplexer problem and ICU data are explained here.Section 5 discusses the results obtained so far based on the performance of different strategies used in the system and further illustrates some aspects of the DDM and CDM methods.The final section presents conclusion and the future work.