The analysis of input-output is one of the methodologies most applied in tourism literature to the study of the impacts of tourism activity.In this article, we apply the input-output (IO) subsystems methodology.This methodology is a useful tool for studying the productive structure of the different sectors of an economy.Using it offers us the chanc
An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques
Insider threats are malicious acts that can be carried out by an authorized employee within an organization.Insider threats represent a major cybersecurity challenge for private and public organizations, as an insider attack can cause extensive damage to organization assets much more than external attacks.Most existing approaches in the field of in
A Review of the Statistical and Quantitative Methods Used to Study Alcohol-Attributable Crime.
Modelling the relationship between alcohol consumption and crime generates new knowledge for crime prevention strategies.Advances in data, particularly data with spatial and temporal attributes, have led to a growing suite of applied methods for modelling.In support of alcohol and crime researchers we synthesized and critiqued existing methods of s
High-resolution study of the air-sea CO2 flux and net community oxygen production in the Ligurian Sea by a fleet of gliders
Intense glider monitoring was conducted in the Ligurian Sea for five months to capture the Net Community Production (NCP) variability in MEDI C PLUS W/MG CITRUS one of the most dynamic and productive regions of the Mediterranean Sea.Using the SeaExplorer glider technology, we were able to observe continuously from January to the end of May 2018 the