Data/hora: 10/06/2024 03:50:52

Provedor de dados: 	31	
País: 	United States	
Título: 	DATA MINING BASED MODEL AGGREGATION	
Autores: 	Szucs,   Imre.	
Data: 	2010-03-05	
Ano: 	2007	
Palavras-chave: 	Model aggregation; Consistent future; Data mining; CRM; Basel II; Research and Development/Tech Change/Emerging Technologies.	
Resumo: 	Applying modelling techniques for getting acquainted with customer behaviour, predicting the customers’ next step is neccessary to keep in competition, by decreasing the capital requirement (Basel II - IRB) or making the portfolio more profitable. According to the easily implementable modelling techniques, data mining solutions widespread in practice. Using these models with no conditions can lead into inconsistent future on portfolio change. Consequence of this situation, contradictory predictions and conclusions come into existence. Recognizing and conscious handling of inconsistent predictions is an important task for experts working on different scene of the knowledge based economy and society. By realizing and solving the problem of inconsistency in modelling processes, the competitive advantage can be increased and strategic decisions can be supported by consistent predictions.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	ISSN 0046-5518

http://purl.umn.edu/58928	
Relação: 	GAZDÁLKODÁS: Scientific Journal on Agricultural Economics&gt;Volume 51, Special Issue, Number 19, 2008

51.

19. Special Issue	
Formato: 	9