Als ein Teilbereich der Künstlichen Intelligenz stellt Machine Learning (ML) eine Schüsseltechnologie des 21. Jahrhunderts dar. Unter Nutzung der mathematisch-statistischen Verfahren sind technische Systeme realisierbar, die anhand von Daten eigenständig empirische Zusammenhänge erkennen und...

Machine Learning ist ein Forschungsfeld mit großen Potenzialen und weitreichenden Anwendungspotenzialen. Big Data kann dabei als Enabler angesehen werden, da große und qualitativ hochwertige Daten stets die Grundlage für erfolgreiche Machine Learning-Algorithmen und -Modelle darstellen....

Seit dem Berichtsjahr 2008 enthalten die Datenlieferungen zur deutschen amtlichen Wanderungsstatistik Angaben zum Geburtsstaat von zu-, fort- und umziehenden Personen. Wegen unzureichender Qualität wurden diese Daten bislang nur für Schätzungen nach Geburtsstaatengruppen im Rahmen...

In this research, two estimation algorithms for extracting cross-lingual news pairs based on machine learning from financial news articles have been proposed. Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and tweets are generated on the...

Childhood circumstances may impact senior health, prompting this study to introduce novel machine learning methods to assess their individual and collective contributions to health inequality in old age. Using the US Health and Retirement Study (HRS) and the China Health and Retirement...

This paper develops a large-scale application to improve the labour market matching process with model- and algorithm-based statistical methods. We use comprehensive administrative data on employment biographies covering individual and job-related information of workers in Germany. We estimate...

This paper follows the recent literature on real estate price prediction and proposes to take advantage of machine learning techniques to better explain which variables are more important in describing the real estate market evolution. We apply the random forest algorithm on London real estate...

A constant in the business world is the frequent movement of customers joining or abandoning companies' services and products. The customer is one of the company's most important assets. Reducing the customer abandonment rate has become a matter of survival and, at the same time, the most...

Since not all suppliers are to be managed in the same way, a purchasing strategy requires proper supplier segmentation so that the most suitable strategies can be used for different segments. Most existing methods for supplier segmentation, however, either depend on subjective judgements or...

In recent years, machine learning techniques have assumed an increasingly central role in many areas of research, from computer science to medicine, including finance. In the current study, we applied it to financial literacy to test its accuracy, compared to a standard parametric model, in the...