Title :
A proposal to use KDD as a tool to discovery alcohol and sugar production plant behavior
Author :
Cunha, Márcio José DA ; de Paula Caurin, Glauco Augusto
Author_Institution :
Mech. Eng. Dept., Univ. of Sao Paulo, São Paulo, Brazil
Abstract :
In now days, the quantity of the data stored is very gigantic and continuous. In an alcohol and sugar industrial production plant, not all variables are analyzed, because the quantity of the data, the diversity of the sectors in the process and the difficulty to be analyze this data. This paper proposes the use of KDD as a tool applied in industrial process, in specifically in sugar cane and alcohol process. The experiments are done with Fermentation data process obtained during the sugar and alcohol harvest. The results show that it is possible applies the KDD process for this kind of industry as well predicts the future production.
Keywords :
data analysis; data mining; fermentation; industrial plants; organic compounds; production engineering computing; sugar refining; KDD process; alcohol harvest; alcohol industrial production plant; alcohol process; alcohol production plant behavior; data analysis; data quantity; fermentation data process; industrial process; sugar cane process; sugar harvest; sugar industrial production plant; sugar production plant behavior; Data mining; Databases; Equations; Manufacturing; Mathematical model; Production; Sugar industry; KDD; process optimization; sugar and alcohol production;
Conference_Titel :
Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4244-8008-1
Electronic_ISBN :
978-1-4244-8009-8
DOI :
10.1109/INDUSCON.2010.5739897
