Traffic jams are an important problem both on an individual and on a societal level and much research has been done on trying to explain their emergence. The mainstream approach to road traffic monitoring is based on crowdsourcing roaming GPS devices such as cars or cell phones. These systems...

Traffic jams are an important problem both on an individual and on a societal level and much research has been done on trying to explain their emergence. The mainstream approach to road traffic monitoring is based on crowdsourcing roaming GPS devices such as cars or cell phones. These systems...

Due to the advanced technology associated with Big Data, data availability and computing power, most banks or lending institutions are renewing their business models. Credit risk predictions, monitoring, model reliability and effective loan processing are key to decision-making and transparency....

This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising...

Since the conceptualization of bounded rationality, management scholars started investigating how people-managers and entrepreneurs-really make decisions within (and for) organizations. The aim of this eBook is to deeply investigate trends that have flourished within this pivotal research area...

In linear regression of Y on X(2 Rp) with parameters (2 Rp+1); statistical inference is unreliable when observations are obtained from gross-error model, F;G = (1??)F +G; instead of the assumed probability F;G is gross-error probability, 0 < < 1: When G is unit mass at (x; y); Residual's Inuence...

Kann man mit Machine-Learning-Algorithmen prognostizieren, ob es nach einem erfolgten Wohnungseinbruchdiebstahl in kurzer Zeit und in unmittelbarer Nähe zu Nachfolgedelikten kommen wird? Dieser Frage geht der vorliegende Artikel anhand von Daten aus Baden-Württemberg nach. Dabei zieht er einen...

In a bold and risky political move the Greek prime minister Alexis Tsipras called for a referendum on June 27 2015 quitting ongoing negotiations with Greece's creditors in Brussels. The referendum framed as a yes or no question asked the Greek voters to decide whether or not they approve or...

I create a time series of weekly ratios of Google searches, in the US, on buying and selling in the Real Estate Category of Google Trends. I call this ratio the Google US Housing Market BUSE Index or simply the BUSE index. It expresses the number of "buy"-searches for each "sell"-search which,...