Cryptocurrencies are gaining traction in the financial markets, yet there is widespread concern about the potential for fraud. To continue the growth of cryptocurrencies, cryptocurrency issuers and benchmarking platforms must increase consumers' perceived trust. This research provides insight...

Matrix factorization is a popular technique for engineering features for use in predictive models; it is viewed as a key part of the predictive analytics process and is used in many different domain areas. The purpose of this paper is to investigate matrix-factorization-based dimensionality...

The author review the states' tax treatment of active-duty services' income; she considers whether it is fair to give servicemembers special treatment. Although special tax treatment might not satisfy the principles of sound tax policy, states are likely to continue to offer it, she says

TV viewership data available at the individual set-top box level has enabled new methods for estimating the demographics of shows' audiences, but it is impossible to tell with certainty which household members are watching TV in multi-person households. We address this problem through four main...

Dimensionality Reduction (DR) is frequently employed in the predictive modeling process with the goal of improving the generalization performance of models. This paper takes a design science perspective on DR.We treat it as an important business analytics artifact and investigate its utility in...

The proliferation of debates surrounding the sexualisation of childhood in the late 20th and early 21st century has led to the commission of a range of investigations into the role of sex and consumer culture in the lives of children and young people. This paper sets out to analyse the dominant...