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Visual Explorations in Finance with SelfOrganizing Maps ~ Selforganizing maps SOM have proven to be of significant economic value in the areas of finance economic and marketing applications As a result this area is rapidly becoming a nonacademic technology This book looks at near stateoftheart SOM applications in the above areas and is a
Visual Explorations in Finance with SelfOrganizing Maps ~ Visual Explorations in Finance with SelfOrganizing Maps Springer Finance Softcover reprint of the original 1st ed 1998 Edition by Guido Deboeck Editor › Visit Amazons Guido Deboeck Page Find all the books read about the author and more See
Visual Explorations in Finance SpringerLink ~ Selforganizing maps SOM have proven to be of significant economic value in the areas of finance economic and marketing applications As a result this area is rapidly becoming a nonacademic technology
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Best Practices in Data Mining using SelfOrganizing Maps ~ This chapter summarizes best practices in data mining and visual data explorations through clustering of multidimensional data in finance economics and marketing The best practices outlined Best Practices in Data Mining using SelfOrganizing Maps SpringerLink
Tips for Processing and Colorcoding of SelfOrganizing Maps ~ Kaski S Kohonen T 1998 Tips for Processing and Colorcoding of SelfOrganizing Maps In Deboeck G Kohonen T eds Visual Explorations in Finance Springer Finance
SelfOrganizing Maps of Large Document Collections Springer ~ Abstract All applications presented in the previous chapters applied selforganizing maps to reducing quantitative numeric data This chapter shows how textual information can be treated in a similar way and how selforganizing maps can help in more effective retrieval of information than current search engines
Visual explorations in finance Open Library ~ Visual explorations in finance by Guido J Deboeck Teuvo Kohonen 2 editions First published in 1998 Subjects Neural networks Computer science Decision making Finance Data processing Selforganizing maps
Visual Explorations in Finance with SelfOrganizing Maps ~ Get this from a library Visual Explorations in Finance with SelfOrganizing Maps Guido Deboeck Teuvo Kohonen Selforganizing maps SOM have proven to be of significant economic value in the areas of finance economic and marketing applications As a result this area is rapidly becoming a nonacademic
Software Tools for SelfOrganizing Maps Springer ~ In particular there is an increasing number of commercial offtheshelf userfriendly software tools that are becoming more and more sophisticated This chapter contains a brief overview of several public domain software tools as well as a list of commercially available neural network tools that contain a selforganizing map capability
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