An experiment to evaluate the vices and opportunities of micro-targeted advertising in public policy

The focus of this work is the creation and application of an experimental framework that tests the effectiveness and the impacts of micro-targeted ads. Micro-targeted ads have been used extensively by both political and retail carriers to sway peoples’ opinion, but there haven’t been any academic studies (in an environmentwhich is not controlled...

Towards Achieving Gender Equality in Automated Loan Approval Processes

The consumer lending domain has increasingly leveraged Artificial Intelligence (AI) to make loan approval processes more efficient and to make use of larger amount of information to predict their applicants’ repayment ability. Over time, however, valid concerns have been raised about whether decisions made about individuals using these data...

Maturity model for the IT-department when migrating to a SaaS-environment

In a period where digitization rapidly influences the corporate world, Cloud Computing (CC) has emerged over the past years as well. CC refers to offering hardware, software, and data by a provider over a network and can benefit organizations enormously regarding cost efficiency, operational excellence, and innovation. Software-as-a-Service ...

Tracking Cookies in the European Union, an Empirical Analysis of the Current Situation

Tracking is a pervasive mechanism across the web which is capable to trace and collect users’ online data. One of the most widely used mechanisms for tracking are cookies, and they are used to deliver online behavioral advertisement. Since these mechanisms pose a threat to privacy, the E-Privacy Directive was created as the regional legal...

Vacant retail space, should the municipality intervene?

There is a considerable increase of vacancies on the retail market. This can lead to a decline of the liveability of the environment and blight in the area. There is a tension whether the government should intervene or the market needs to address retail vacancies. This case study in the Netherlands identifies the possible roles and instruments...

Exploring Merchants' Reluctance to Adopt e-Commerce Anti-Fraud Tools: A Case Study in the Payments Industry

Big Data Veracity Assessment: Improving risk assessment by adding high veracity data to existing contents insurance models

Anomaly Detection Beyond the Research Setting: An exploration of the use of statistics and machine learning to detect cyber attacks

In this work we approach the problem of deploying anomaly detection techniques for detecting cyber attacks in an organisational environment. Anomaly detection has been an active research area for almost three decades with promising results. However, few such systems have been successfully im- plemented in an operational environment for improving...