Abstract
This chapter summarizes best practices in data mining and visual data explorations through clustering of multi-dimensional data in finance, economics and marketing. The best practices outlined in this chapter are based on (i) the lessons learned from all the chapters in this book, (ii) lessons learned from other papers not included here, (iii) the expertise of people who have several years of hands-on experience in applying neural networks in finance and economics. From the applications presented in this book we derived a process for data analysis, clustering, visualization, and evaluation in finance, economics and marketing. This chapter outlines this process and illustrates it by applying it to country credit risks analysis.
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© 1998 Springer-Verlag Berlin Heidelberg
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Deboeck, G. (1998). Best Practices in Data Mining using Self-Organizing Maps. In: Deboeck, G., Kohonen, T. (eds) Visual Explorations in Finance. Springer Finance. Springer, London. https://doi.org/10.1007/978-1-4471-3913-3_15
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DOI: https://doi.org/10.1007/978-1-4471-3913-3_15
Publisher Name: Springer, London
Print ISBN: 978-1-84996-999-4
Online ISBN: 978-1-4471-3913-3
eBook Packages: Springer Book Archive