Use of association rules to generate information from COVID-19 contact tracing data in Belgium

01 January 2021 → 31 December 2021
Regional and community funding: various
Research disciplines
  • Natural sciences
    • Data mining
    • Knowledge representation and reasoning
    • Visual data analysis
association rules
Project description

In the context of contact tracking for COVID-19, data is collected on the behavior of infected persons. The data that is collected is complex and most likely not perfectly structured in an optimal temporal space database. This makes it very difficult to analyze the data and to look for spatial-temporal information and knowledge about, among other things, super spreading events, super spreaders, ... It is interesting to apply the technique of association rules to data obtained through contact tracing. That is done in this project.