Abstract
The improvement in the operation of melting the scrap metal in electric arc furnace, to make various types of steel products, requires complex expertise. This work discusses data mining approach to this problem. We flattened the time series data of the whole operation into the form which is suitable for conventional data mining methods. This paper describes the methodology for transformation of the time series data and discusses the possible applicability of different classification methods in this domain.
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Badruddin, K.M., Yagi, I., Terano, T. (2012). Applying Data Mining Techniques to Assess Steel Plant Operation Conditions. In: Holmes, D., Jain, L. (eds) Data Mining: Foundations and Intelligent Paradigms. Intelligent Systems Reference Library, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23151-3_15
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DOI: https://doi.org/10.1007/978-3-642-23151-3_15
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