Orellana, MarcosSalto, JimmyCedillo Orellana, Irene Priscila2022-02-072022-02-072021978-303073102-12194-5357http://dspace.ucuenca.edu.ec/handle/123456789/37975https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105958883&doi=10.1007%2f978-3-030-73103-8_12&partnerID=40&md5=9f0432de083771892eb236e0fe1504c2The relationship between atmospheric components and meteorological variables is essential to assess the air quality and thus avoid citizens' health risks. However, finding an association relationship between those factors could be complicated due to the number of categorization methods that can be used (e.g., frequency, size, binning). Therefore, the objective of this study is to propose a methodology that prepares data through a discretization process and then applies association techniques of the possible combinations between the analyzed variables. The results show that the method used is effective in locating patterns, which are useful for the environmental manager to find knowledgees-ESData miningMeteorological variablesDiscretizationAssociation rulesAtmospheric pollutantsARTÍCULO DE CONFERENCIA10.1007/978-3-030-73103-8_12