Digitization has spurred interest in the potential of statistical profiling to improve the targeting of active labor … market policies. Despite growing adoption, empirical evidence on the effectiveness of such profiling in program allocation is … scarce. We evaluate a semi-automated statistical profiling model in Austria that aims to target policies based on predicted …

geographic profiling with Domain Name System (DNS) data analysis to enhance cyber threat detection, offering a novel approach to … profiling in cyber threat intelligence, with K-means clustering achieving a high silhouette score of 0.985, indicating well … visibility and response capabilities. By integrating geographic profiling with DNS data analysis, we advance cybersecurity …

Digitization has spurred interest in the potential of statistical profiling to improve the targeting of active labor … market policies. Despite growing adoption, empirical evidence on the effectiveness of such profiling in program allocation is … scarce. We evaluate a semi-automated statistical profiling model in Austria that aims to target policies based on predicted …

Public employment services (PES) commonly apply profiling models to target labor market programs to jobseekers at risk … of becoming long-term unemployed. Such allocation systems often codify institutional experiences in a set of profiling …-based profiling procedure currently used by the PES in Catalonia, Spain, with the performance of statistical models in predicting …

Public employment services (PES) commonly apply profiling models to target labor market programs to jobseekers at risk … of becoming long-term unemployed. Such allocation systems often codify institutional experiences in a set of profiling …-based profiling procedure currently used by the PES in Catalonia, Spain, with the performance of statistical models in predicting …