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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

Testing the significance of calendar effects

Hansen, Peter Reinhard; Lunde, Asger - 2003

When evaluating the significance of calendar effects, such as those associated with Monday and January, it is necessary to control for all possible calendar effects to avoid spurious results. The downside of having to control for a large number of possible calendar effects is that it diminish...

Persistent link: https://www.econbiz.de/10010318856

Would You Like to Be a Prosumer? Information Revelation, Personalization and Price Discrimination in Electronic Markets

Bandulet, Martin; Morasch, Karl - 2003

Electronic commerce and flexible manufacturing allow personalization of initially standardized products at low cost …. Will customers provide the information necessary for personalization? Assuming that a consumer can control the amount of …Elektronischer Handel und flexible Produktionstechnologien ermöglichen eine kostengünstige Personalisierung ehemals …

Persistent link: https://www.econbiz.de/10010270920

Would you like to be a prosumer? Information revelation, personalization and price discrimination in electronic markets

Morasch, Karl; Bandulet, Martin - 2003

Persistent link: https://www.econbiz.de/10010300399

School to go: Neues Lernen im Social-Media-Stil

Eckle, Jannick; Jungfleisch, Anne; Stattkus, Daniel; … - In: HMD Praxis der Wirtschaftsinformatik 58 (2021) 6, pp. 1469-1482

Mit dem pandemiebedingten ersten Lockdown im März 2020 hat das digitale Lernen einen enormen Aufschwung erfahren. Mit der Initiative "School to go" wird in Zeiten bundesweiter Schulschließungen ein relevanter Beitrag zur digitalen Bildung für Schülerinnen und Schüler, Eltern, Lehrkräfte...

Persistent link: https://www.econbiz.de/10014501539

Dem Mitarbeiter zu Diensten. Weiterbildung und Qualifizierung als Personennahe Dienstleistung

Vladova, Gergana; Heuts, Alexander; Teichmann, Malte - In: HMD Praxis der Wirtschaftsinformatik 57 (2020) 4, pp. 710-721

Die Weiterbildung und Qualifizierung der Mitarbeiter sind zentrale Erfolgsfaktoren des digitalen Wandels. Die zentrale Herausforderung besteht darin, diese maßgeschnitten anzubieten sowie notwendige Akzeptanz nicht vorauszusetzen, sondern ebenso als Zielgröße anzusehen. Dies geschieht jedoch...

Persistent link: https://www.econbiz.de/10014503991

Algoritmic methods for segmentation of time series: An overview

Lovrić, Miodrag; Milanović, Marina; Stamenković, Milan - In: Journal of Contemporary Economic and Business Issues 1 (2014) 1, pp. 31-53

Adaptive and innovative application of classical data mining principles and techniques in time series analysis has resulted in development of a concept known as time series data mining. Since the time series are present in all areas of business and scientific research, attractiveness of mining...

Persistent link: https://www.econbiz.de/10011557598

In-sample or out-of-sample tests of predictability: which one should we use?

Inoue, Atsushi; Kilian, Lutz - 2002

It is widely known that significant in-sample evidence of predictability does not garantuee significant out-of-sample predictability. This is often interpreted as an indiciation that in-sample evidence is likely to be spurious and should be discounted. In this paper we question this conventional...

Persistent link: https://www.econbiz.de/10011604241

Tree-based approaches for understanding growth patterns in the European regions

Annoni, Paola; Rubianes, Angél Catalina - In: REGION 3 (2016) 2, pp. 23-45

The paper describes an empirical analysis to understand the main drivers of economic growth in the European Union (EU) regions in the past decade. The analysis maintains the traditional factors of growth used in the literature on regional growth - stage of development, population agglomeration,...

Persistent link: https://www.econbiz.de/10011617520

Big Data als Informationsquelle für regionales Arbeitsmarkt-Monitoring: Online-Stellenanzeigen analysieren mittels "Jobfeed"

Plaimauer, Claudia - 2016

1 Einleitung. 2 Herausforderungen bei der Interpretation von Stelleninseraten. 3 Herausforderungen im Umgang mit Big Data und semantischen Technologien. 4 Die Big-Data-Plattform "Jobfeed". 5 Ausblick. 6 Literatur.

Persistent link: https://www.econbiz.de/10011626062

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