Arrears management is the process by which loan accounts that have defaulted on their contractual repayments are managed. Although computational intelligence approaches such as artificial neural networks have been applied to the related field of loan approval/credit-scoring, there is little evidence of their application to arrears management. This thesis investigates the feasibility of using artificial neural networks to predict the risk of personal loan accounts falling into arrears. The data used is real live personal loan data sourced from a medium-sized Australian financial institution. The results are very encouraging, particularly those obtained when an ensemble rather than individual networks were used. The results also suggested that there is scope for further substantial research in this area.
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Arrears management is the process by which loan accounts that have defaulted on their contractual repayments are managed. Although computational intelligence approaches such as artificial neural networks have been applied to the related field of loan approval/credit-scoring, there is little evidence of their application to arrears management. This thesis investigates the feasibility of using artificial neural networks to predict the risk of personal loan accounts falling into arrears. The data used is real live personal loan data sourced from a medium-sized Australian financial institution. The results are very encouraging, particularly those obtained when an ensemble rather than individual networks were used. The results also suggested that there is scope for further substantial research in this area.
Esther Andrea Maryse Scheurmann, B.Comp (Distinction), M.Bus (Information Systems), La Trobe University, Australia. Senior Business Analyst at a major Australian Bank.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Arrears management is the process by which loan accounts that have defaulted on their contractual repayments are managed. Although computational intelligence approaches such as artificial neural networks have been applied to the related field of loan approval/credit-scoring, there is little evidence of their application to arrears management. This thesis investigates the feasibility of using artificial neural networks to predict the risk of personal loan accounts falling into arrears. The data used is real live personal loan data sourced from a medium-sized Australian financial institution. The results are very encouraging, particularly those obtained when an ensemble rather than individual networks were used. The results also suggested that there is scope for further substantial research in this area. 100 pp. Englisch. N° de réf. du vendeur 9783838365220
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Arrears management is the process by which loan accounts that have defaulted on their contractual repayments are managed. Although computational intelligence approaches such as artificial neural networks have been applied to the related field of loan approval/credit-scoring, there is little evidence of their application to arrears management. This thesis investigates the feasibility of using artificial neural networks to predict the risk of personal loan accounts falling into arrears. The data used is real live personal loan data sourced from a medium-sized Australian financial institution. The results are very encouraging, particularly those obtained when an ensemble rather than individual networks were used. The results also suggested that there is scope for further substantial research in this area. N° de réf. du vendeur 9783838365220
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Scheurmann EstherEsther Andrea Maryse Scheurmann, B.Comp (Distinction), M.Bus (Information Systems), La Trobe University, Australia. Senior Business Analyst at a major Australian Bank.Arrears management is the process by which . N° de réf. du vendeur 5416858
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Arrears management is the process by which loan accounts that have defaulted on their contractual repayments are managed. Although computational intelligence approaches such as artificial neural networks have been applied to the related field of loan approval/credit-scoring, there is little evidence of their application to arrears management. This thesis investigates the feasibility of using artificial neural networks to predict the risk of personal loan accounts falling into arrears. The data used is real live personal loan data sourced from a medium-sized Australian financial institution. The results are very encouraging, particularly those obtained when an ensemble rather than individual networks were used. The results also suggested that there is scope for further substantial research in this area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. N° de réf. du vendeur 9783838365220
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. COMPUTATIONAL INTELLIGENCE IN LENDING | THE APPLICATION OF COMPUTATIONAL INTELLIGENCE TECHNIQUES TO ARREARS MANAGEMENT | Esther Scheurmann | Taschenbuch | 100 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838365220 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101028656
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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