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Testing the significance of calendar effects
Hansen, Peter Reinhard; Lunde, Asger - 2003
correlation structure, and its main advantage is that it is capable of producing data-mining robust significance. We apply the …
Persistent link: https://www.econbiz.de/10010318856
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Stock picking via nonsymmetrically pruned binary decision trees
Andriyashin, Anton - 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/10010263732
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Choosing the best volatility models: The model confidence set approach
Hansen, Peter Reinhard; Lunde, Asger; Nason, James M. - 2003
Comparison ; Data Mining …
Persistent link: https://www.econbiz.de/10010318935
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Data Mining Projekte im unternehmerischen Umfeld : eine empirische Studie deutscher Unternehmen
Hilbert, Andreas - 2002
-Systeme dargestellt sowie die Einbettung von Data Warehouse und Data Mining Technologie in diesem Kontext erörtert. Danach erfolgt eine … Literatur gestützte Diskussion möglicher Erfolgsdeterminanten von CRM-Systemen in Hinblick au den Einsatz von Data Mining. Die … daraus abgeleiteten Hypothesen bzgl. kritischer Erfolgsfaktoren des Data Mining sollen dann im Rahmen einer empirischen …
Persistent link: https://www.econbiz.de/10010296833
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Analyse zeitabhängiger Daten durch Data-Mining-Verfahren
Wissuwa, Stefan; Cleve, Jürgen; Lämmel, Uwe - 2005
Persistent link: https://www.econbiz.de/10010297060
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Data Mining mittels künstlicher neuronaler Netze
Lämmel, Uwe - 2003
Persistent link: https://www.econbiz.de/10010301389
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - 2004
The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...
Persistent link: https://www.econbiz.de/10010306241
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Building predictive models for feature selection in genomic mining
Figini, Silvia; Giudici, Paolo - 2006
Building predictive models for genomic mining requires feature selection, as an essential preliminary step to reduce …
Persistent link: https://www.econbiz.de/10010326099
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Testing the significance of calendar effects
Hansen, Peter Reinhard; Lunde, Asger; Nason, James M. - 2005
for calendar effects produces robust data-mining results. Unfortunately, attempts to control for a large number of …
Persistent link: https://www.econbiz.de/10010397591
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Data-driven indirect punch wear monitoring in sheet-metal stamping processes
Unterberg, Martin; Becker, Marco; Niemietz, Philipp; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1721-1735
The wear state of the punch in sheet-metal stamping processes cannot be directly observed, necessitating the use of indirect methods to infer its condition. Past research approaches utilized a plethora of machine learning models to infer the punch wear state from suitable process signals, but...
Persistent link: https://www.econbiz.de/10015194329