Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
The Data Mining usage in Production System Management

Authors: Pavel Vazan, Pavol Tanuska, Michal Kebisek

Abstract:

The paper gives the pilot results of the project that is oriented on the use of data mining techniques and knowledge discoveries from production systems through them. They have been used in the management of these systems. The simulation models of manufacturing systems have been developed to obtain the necessary data about production. The authors have developed the way of storing data obtained from the simulation models in the data warehouse. Data mining model has been created by using specific methods and selected techniques for defined problems of production system management. The new knowledge has been applied to production management system. Gained knowledge has been tested on simulation models of the production system. An important benefit of the project has been proposal of the new methodology. This methodology is focused on data mining from the databases that store operational data about the production process.

Keywords: data mining, data warehousing, management of production system, simulation

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333772

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References:


[1] P. Berka, Knowledge discovering from databases. Academia, 2003.
[2] U. M. Fayyad, G. Piatetski-Shapiro,G. P. Smyth, "From Data Mining to Knowledge Discovery: An Overview". Advances in Knowledge Discovery and Data Mining, MIT Press, pp. 1-37, 1996.
[3] P. Giudici, S. Figini, Applied Data Mining for Business and Industry. 2nd Edition. Wiley Computer Publishing, 2009.
[4] M. Kantardzic, J. Zurada, Next Generation of Data-Mining Applications. Wiley-IEEE Press, 2005.
[5] L. Lacko, Oracle - Administration, programming and using database system. Computer Press, 2007.
[6] L. Lacko, Database: data warehouse, OLAP and data mining. Computer Press, 2003.
[7] P. Schreiber, "Applications of Genetic Algorithms". 19th Central European Conference on Information and Intelligent Systems - CECIIS: Conference Proceedings. University of Zagreb, 2008.
[8] D. Taniar, Data Mining and Knowledge Discovery Technologies. IGI Publishing, 2008.
[9] A. Trnka, "Classification and Regression Trees as a Part of Data Mining in Six Sigma Methodology". WCECS 2010: World Congress on Engineering and Computer Science, International Association of Engineers, 2010. pp. 449-453.
[10] C. Vercellis, Business Intelligence: Data Mining and Optimization for Decision Making. Wiley Computer Publishing, 2009.
[11] G. J. Williams, S. J. Simoff, Data Mining - Theory, Methodology, Techniques, and Applications. Springer, 2006.