Learn hands on how to solve logistics use cases by means of a data science infrastructure stack. Building a data-driven infrastructure is crucial for leveraging the full potential of data. In this context, infrastructure refers to the full spectrum of software and technologies (and their interrelationships) …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

Physical activity is crucial in human life, whether in everyday activities or elite sports. It is important to maintain or improve physical performance, which depends on various factors such as the amount of physical activity, the capability, and the capacity of the individual. In daily life, it is significant …

NarcoView aims to improve finding narcotic waste dumpsites by utilizing a methodology that reduces reliance on current reporting methods. The project faces challenges in data- and main question is: How does the NarcoView project ensure secure handling of data used on the platform and customize …

Optimization of aviation maintenance, repair, and overhaul (MRO) operations has been of high interest in recent years for both the knowledge institutions and the industrial community as a total of approximately $70 billion has been spent on MRO activities in 2018 which represents around 10% of an airline’s …

Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational …

Er is steeds meer data (of gegevens) beschikbaar binnen organisaties. De hoeveelheid neemt exponentieel toe. Zo worden Nederlandse overheidsorganisaties ook wel overspoeld door data. Maar, data an sich heeft weinig waarde en biedt geen informatie. Om impact te hebben, moet dit worden samengevoegd en …

Although governments are investing heavily in big data analytics, reports show mixed results in terms of performance. Whilst big data analytics capability provided a valuable lens in business and seems useful for the public sector, there is little knowledge of its relationship with governmental performance. …

Although learning analytics benefit learning, its uptake by higher educational institutions remains low. Adopting learning analytics is a complex undertaking, and higher educational institutions lack insight into how to build organizational capabilities to successfully adopt learning analytics at scale. …

The institutional adoption of learning analytics in the Netherlands is still low. This chapter presents a study on the challenges that Dutch higher educational institutions encounter when adopting learning analytics. The literature describes possible challenges regarding assets, data governance, data …