Building intelligent credit-risk evaluation systems using neural network rule extraction and decision tables

Baesens, B., Setiono, R., Mues, C., Viaene, S. and Vanthienen, J. (2001) Building intelligent credit-risk evaluation systems using neural network rule extraction and decision tables. In, Vandenbulcke, J. and Snoeck, M. (eds.) New Directions in Software Engineering. Leuven, Belgium. Leuven University Press, pp. 121-133.

Abstract

Table of contents

Neo-classical reengineering: Returning to the promise of process in the post-Internet economy
M. De Kegel and M. McDonald

Towards an integrative framework for software architecture
R. Maes and G. Dedene

Component based development. From dinosaurs to small, adaptive, co-operating, replaceable creatures
G. Van Humbeeck, J. Merckx

Separating Business Process Aspects from Business Object behaviour
M. Snoeck

COSMIC-FFP and MERODE: Applying the Next Generation Function Points to Object Oriented Enterprise Models
G. Poels

On the use of Jackson Structured Programming (JSP) for the structured design of XSL Transformations
G. Dedene

Ruling the business: about Business Rules, decision tables and Intelligent Agents
J. Vanthienen

Building intelligent credit-risk evaluation systems using neural network rule extraction and decision tables
B. Baesens, R. Setiono, C. Mues, S. Viaene and J. Vanthienen

Web service description, advertising and discovery: WSDL and beyond
W. Lemahieu

Developing enterprise architecture: the case of KBC Insurance
F. Pieck, S. Viaene and G. Dedene

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Contributors

Author: B. Baesens

Author: C. Mues

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