Przybyła-Kasperek, MałgorzataKusztal, Katarzyna2023-09-222023-09-222023Przybyła-Kasperek M., Kusztal K., Application of Pawlak’s Conflict Model to Generate Coalitions of Local Tables with Similar Values on Conditional Attributes. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 293-298, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.47.978-83-66741-92-8http://hdl.handle.net/11652/4823https://doi.org/10.34658/9788366741928.47Generating a model or pattern based on dispersed data available in many different tables is difficult because there can be numerous inconsistencies in the data. One way to deal with such a problem is to analyze conflicts and generate coalitions of consistent local tables. This paper proposes a model in which coalitions of tables with consistent data are created using Pawlak’s conflict analysis approach. A model, decision tree, is created based on the aggregated data within the coalition. This way, we get rules that better describe the concepts found in consistent local tables.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionPawlak conflict analysis modelindependent data sourcescoalitionsdecision treesdispersed datamodel analizy konfliktu Pawlakaniezależne źródła danychkoalicjedrzewa decyzyjnedane rozproszoneRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.47