Adatbányászat üzleti szemmel (I. rész)
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Copyright (c) 2009 University of Debrecen
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Abstract
Organizations in the 21st century - whether they are profitoriented or not, in private ownership or state-owned - can increase their efficiency with an outstanding tool. This tool is data mining. This article first of all defines and presents data mining, and locates it in the process of 'Knowledge Discovery in Databases'. Following this we review the fields of employment of data mining and the basic methods employed. In particular we discuss the method of classification and the theoretical background of the main techniques, such as decision trees, neural networks and logistic regression models. The second part of this paper presents the real world application of this technology by way of an analysis of a real database.
Journal of Economic Literature (JEL) classification: C25, C44, C45, C49
References
- Ary Bálint Dávid – Dr. Imre Sándor [2006]: Számlázás újgenerációs telekommunikációs hálózatokban.Híradástechnika, LXI. évfolyam, 10. szám, 40–45. o.
- Berry, M. J. A. – Linoff, G. [1997]: Data Mining Techniques: For Marketing, Sales, and Customer Support.John Wiley and Sons, Inc., New York.
- Coppock, D. S. [2002]: Data Modeling and Mining: Why Lift? In: http://www.information-management.com/news/5329-1.html (Letöltve: 2009. február 21.)
- Fisher, R. A. [1915]: Frequency Distribution of the Values of the Correlation Coefficient in Samples of anIndefinitely Large Population. Biometrika, vol. 10. no. 4. 507–521. o.
- Hunyadi László – Vita László [2004]: Statisztika közgazdászoknak (Harmadik átdolgozott kiadás). KSH,Budapest.
- Lucas, A. [2004]: The Gini Coefficient. In: http://www.rhinorisk.com/Publications/Gini%20Coefficients.pdf (Letöltve: 2009. március 09.)
- Márkus Béla [1994]: Térinformatika (Főiskolai jegyzet). Erdészeti és Faipari Egyetem, Földmérési ésFöldrendezői Főiskolai Kar, Székesfehérvár. 23. o.
- MNB [2008]: Lekérdezhető árfolyamok. In: http://www.mnb.hu/engine.aspx?page=arfolyamtablazat&query =2008.11.26.,2008.11.26.,1,EUR (Letöltve: 2008. december 12.)
- SAS [2006]: Introduction to SAS® Enterprise MinerTM Course Notes. SAS Institute INC., Cary, NC.
- SAS [2008]: Getting Started with SAS® Enterprise MinerTM 5.3. SAS Institute Inc., Cary, NC. In: http://support.sas.com/documentation/onlinedoc/miner/getstarted53.pdf (Letöltve: 2009. február 12.)
- Tan, P. N. – Steinbach, M. – Kumar, V. [2005]: Introduction to Data Mining. Addison-Wesley, Richmond,TX