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We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...
Persistent link: https://www.econbiz.de/10014374780
Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...
Persistent link: https://www.econbiz.de/10011656506
KI-Modelle und Machine-Learning-Anwendungen halten Einzug in die alltägliche Praxis von Unternehmen und können mitbestimmt werden. Um die Interessen und Rechte der Beschäftigten zu berücksichtigen und zu schützen, sollten die aktuellen Regelungen in betrieblichen IT-Vereinbarungen...
Persistent link: https://www.econbiz.de/10012669333
Data science and big data analytics (DS &BDA) methodologies and tools are used extensively in supply chains and logistics (SC &L). However, the existing insights are scattered over different literature sources and there is a lack of a structured and unbiased review methodology to systematise DS...
Persistent link: https://www.econbiz.de/10015168529
Scientific, political and bureaucratic elites use epistemic practices like “big data analysis” and “web scraping” to create representations of the citizenry and to legitimize policymaking. I develop the concept of “demos scraping” for these practices of gaining information about...
Persistent link: https://www.econbiz.de/10012222234
Serious concerns about the invasion of digital footprint information privacy due to intense commercial promotion through data mining has led to the emergence of privacy by design in the form of the Do Not Track (DNT) mechanism. This paper attempts to construct a theory to justify and find an...
Persistent link: https://www.econbiz.de/10015401680
Background From the last decade, data mining techniques, employed in particular in customer relationship management, have assumed a key role in the profitability and operations of companies. To support small and medium companies (SMEs), several innovative and continuously improving tools have...
Persistent link: https://www.econbiz.de/10015408611
The early days of tourism development had a näive vision of tourism's impacts on society in terms of economic, social, and environmental benefits. Time has passed, and we have learnt lessons regarding the success and failure of tourism development. Mass tourism development has pros and cons...
Persistent link: https://www.econbiz.de/10014323777
problems by analysing the configuration of intercity connection patterns in China to provide new evidence to the applications … by months by city-pairs throughout China by months involves many potential stages of big data mining analysis. We …
Persistent link: https://www.econbiz.de/10011400525
The year 2014 marked the rapid expansion of big data in urban studies and planning practices in China. Big data has … China is reviewed in this paper. Focusing on behavior big data mining and big data application in urban studies and planning …
Persistent link: https://www.econbiz.de/10011986273