Pachón Álvarez, VictoriaMata Vázquez, JacintoRoche Beltrán, FranciscoRiquelme Santos, José CristóbalTejera, José María2018-11-062018-11-062004Pachón V., Mata J., Roche F., Cristobal Riquelme Santos J. and María Tejera J. (2004). Practical application of kdd techniques to an industrial process. En: Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 309-314. DOI: 10.5220/0002632203090314http://hdl.handle.net/10272/15481In the process of smelting copper mineral a large amount of sulphuric dioxide (SO2) is produced. This compound would be highly pollutant if it was emitted to the atmosphere. By means of an acid plant it is possible to transform it into sulphuric acid, using for this a set of chemical and physical processes. In this way we dispose of a marketable product and, at the same time, the environment is protected. However, there are certain situations in which the gases escape to the atmosphere, creating pollutant situations. This would be avoidable if we exactly knew under which circumstances this problem is produced. In this paper we present a practical application of KDD techniques to the chemical industry. By means of the obtained results we show the viability of using automatic classifiers to improve a productive process, with an increase of the production and a decrease of the environmental pollution.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Data MiningKDDIndustrial Applications of Artificial Intelligenceconference outputopen access