Association rules as an example of data mining in the analysis of copper flash smelting process – the metallurgist’s point of view

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Association rules as an example of data mining in the analysis of copper flash smelting process – the metallurgist’s point of view

Piotr Jarosz, Jolanta Talar, Jan Kusiak

AGH-University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków.

DOI:

https://doi.org/10.7494/cmms.2009.3.0264

Abstract:

The paper presents an attempt of the exploration of data sets collected in the copper flash smelting process. The goal of the research was to find the association rules occurring between selected output parameters of the process – copper concentration in the slag and lead concentration in blister copper – and input process parameters. The discovered relationships extend the knowledge on the process and can help to improve the models describing the flash smelting process and the process control system algorithms.

Cite as:

Jarosz, P., Talar, J., Kusiak, J., (2009). Association rules as an example of data mining in the analysis of copper flash smelting process – the metallurgist’s point of view. Computer Methods in Materials Science, 9(3), 392 – 399. https://doi.org/10.7494/cmms.2009.3.0264

Article (PDF):

Keywords:

Association rules, Modelling of metallurgical processes, Copper flash smelting

References:

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Jarosz, P., Kusiak, J., Talar, J., 2009, Analysis of the copper flash smelting process using the data mining, Part II – Association Rules, Rudy i Metale Nieżelazne, 7 (in press)

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Stanisławczyk, A., Kusiak, J., 2009, Pre-processing of the industrial data for data mining and modelling – application to the copper flash smelting process, Computer Methods in Materials Science, 9, 3, 369-373.

Talar, J., Jarosz, P., Kusiak, J., 2009, Expert system application in modelling and controlling the copper flash smelting process, Computer Methods in Materials Science, 9, 3, 379-391.