Abstract
The stock market analysis is a high demanded task to support investment decisions. The quality of those decisions is the key point in order to obtain profits and obtain new customers and keep old ones. The analysis of stock markets is high complex due to the amount of data analyzed and to the nature of those, in this chapter we propose the use of fuzzy data mining process to support the analysis processes in order to discover useful properties that can help to improve investment decisions.
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Araque, F., Salguero, A., Carrasco, R., Martinez, L. (2008). Using Fuzzy Multi-attribute Data Mining in Stock Market Analysis for Supporting Investment Decisions. In: Kahraman, C. (eds) Fuzzy Engineering Economics with Applications. Studies in Fuzziness and Soft Computing, vol 233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70810-0_16
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DOI: https://doi.org/10.1007/978-3-540-70810-0_16
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