Zusammenfassung
Bank data at the level of individual customers are confidential. Hence, it is usually not permitted to use such data for various data warehousing and analytical customer relationship management (ACRM) activities. This difficulty is overcome by Customer Lifetime Simulator (CLSim), which simulates behavior of large populations of bank customers at the level of individuals
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
Block, F. and Nawrath, T.: Data Mining the Insightful Way. White Paper, Insightful Corporation, 2002
CORSIM: CORSIM 4.0 Analyst and Programmer Documentation. Strategic Forecasting. 2002. http://www.strategicforecasting.com
Elliott, R. J., Aggoun, L., and Moore, J. B.: Hidden Markov Models. Estimation and Control. Springer-Verlag, 1995
Hastie, T., Tibshirani, R., and Friedman, J.: The Elements of Statistical Learning. Data Mining, Inference, and Prediction. Springer-Verlag, 2001
Harding, A., Ed.: Microsimulation and Public Policy. North Holland, 1996
Hosmer, D. W. and Lemeshow, S.: Applied Logistic Regression. John Wiley & Sons, 2001. Mathys, S.: Keimt die Bank ihre Kunden? Handels Zeitung. Zürich, August 23, 2000
Reigrotzki, M., Milek, J., Bosch, H., and Block, F.: A Holistic Approach to Data Quality Management. White Paper, Insightful Corporation, 2001
Schünemann, P.: The Mathematics of Customer Loyalty. New Approaches to Customer Relationship Management. Financial Solutions International, Spring 2001
Witten, I. and Frank, E.: Data Mining. Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann Publishers, 2000
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Milek, J. (2002). Simulation of Bank Customers Using CLSim. In: von Maur, E., Winter, R. (eds) Vom Data Warehouse zum Corporate Knowledge Center. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57491-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-57491-7_6
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-642-63276-1
Online ISBN: 978-3-642-57491-7
eBook Packages: Springer Book Archive