Titlebook: Visual Explorations in Finance; with Self-Organizing Guido Deboeck (Multimedia Producer, Consultant),Te Book 1998 Springer-Verlag Berlin He

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Best Practices in Data Mining using Self-Organizing Mapsand 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 fin

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Guido Deboeckoth solid and supercritical phases can exist (.) (Figure 1.1). For analytical scale extraction the term supercritical generally refers to conditions above the critical temperature and close to the critical pressure.

GENUS

Picking Mutual Funds with Self-Organizing Mapsisk measurements, the tenure of investment managers, and the various expense ratios. SOMs simplify classification of funds; can be used for decision-support; and to provide classifications that have more meaning than simple sorted lists based on multiple criteria.

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Self-Organizing Atlas of Russian Banksestimating the limitations of their results. This chapter demonstrates the value of unsupervised artificial neural networks and self-organizing maps in particular, as a tool for financial analysis of banking institutions.

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Investment Maps of Emerging Marketsmpanies around the globe; maps of banking, telecommunication, and construction companies are included. The strategic importance of using self-organizing maps for investing in emerging markets is explored and the results are compared with those obtained through classical asset allocation strategies.

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Real Estate Investment Appraisal of Buildings using SOMtate valuation. The reason is that the self-organizing map is a neural network technique that allows to examine non-linearity as well as providing a capability to preserve the topology and distribution of the data, which is very important in real estate valuation.. The application in this chapter involves the Finnish dwelling market.

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Marina Resta, we proceed to discuss hydrocarbon layers of molecules of increasing size, i.e. ethylene and benzene. There are only very few examples of coadsorbates where band structure studies have been undertaken. We shall briefly mention some aspects in the last section of this chapter.

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