ABSTRACT: Poverty is one of the world’s greatest challenges, hence the conceptualisation of its causes and solutions are critical to policy and academic debate. The emergency the Capability Approach ...

‘Twas the fight before Christmas? Now that Nielsen has completely switched over to its brand new Big Data + Panel offering, the Video Advertising Bureau (VAB) isn’t happy with how the company’s fall ...

Model-based clustering based on parameterized finite Gaussian mixture models. Models are estimated by EM algorithm initialized by hierarchical model-based agglomerative clustering. The optimal model ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

As the industry embraces Nielsen’s big data + panel, the NFL is on board with the new measurement tool. Still, chief data and analytics officer Paul Ballew says there’s “more work” to be done in terms ...

New York – September 2, 2025 – With the start of the broadcast and football seasons this month, Nielsen today shared several updates for reporters covering TV, as the industry is adopting Nielsen’s ...

This study introduces a more flexible approach by employing the fixed effects negative binomial model to address challenges associated with outliers and dispersion. Unlike previous studies that ...

Abstract: After large-scale electric vehicles are connected to the power distribution network, the disorderly charging behavior of users with significant uncertainty seriously affects the power ...