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Stock picking via nonsymmetrically pruned binary decision trees
Andriyashin, Anton V. (contributor) - 2008
Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...
Persistent link: https://www.econbiz.de/10003727376
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Data mining for big data macroeconomic forecasting: a complementary approach to factor models
Brandl, Bernd; Keber, Christian; Schuster, Matthias G. - In: Operations research proceedings 2005 : selected papers …, (pp. 483-488). 2006
Persistent link: https://www.econbiz.de/10003347709
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Student relationship management - Grundlagen und Einsatzpotenziale
Hilbert, Andreas; Schönbrunn, Karoline - In: Wirtschaftsinformatik im Fokus der modernen …, (pp. 267-283). 2007
Persistent link: https://www.econbiz.de/10003476980
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Stock picking via nonsymmetrically pruned binary decision trees with reject option
Andriyashin, Anton V. - 2008
Persistent link: https://www.econbiz.de/10008907012
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A quantitative analysis of e-commerce : channel conflicts, data minig, and consumer privacy
Teltzrow, Maximilian - 2005
Persistent link: https://www.econbiz.de/10003139206
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Handbuch Web Mining im Marketing : Konzepte, Systeme, Fallstudien
Hippner, Hajo (ed.); Merzenich, Melanie (contributor);  … - 2002 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001646789
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Die langfristige Performance von DAX-Dividendenstrategien
Kotkamp, Stefan; Otte, Max - In: Kredit und Kapital 34 (2001) 3, pp. 393-417
Persistent link: https://www.econbiz.de/10001623782
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Data Mining Projekte im unternehmerischen Umfeld : eine empirische Studie deutscher Unternehmen
Hilbert, Andreas (contributor) - 2002
Persistent link: https://www.econbiz.de/10001935106