Data Mining Techniques and Tools as a Support of the Business Decision Making Process

  • Biljana Teohareva-Filipova
  • Cveta Martinovska

Abstract

Data mining techniques and tools can be used to support decision making. This paper describes the application of some tools from the statistical package IBM SPSS Statistics for data analysis of questionnaires fi lled out by customers in a company that deals with retail and wholesale.

Downloads

Download data is not yet available.

References

Daniel T.Larose, Data mining, Methods and Models, John Willey & Sons, 2006.

Goran Klepac, Leo Mršič, Poslovna Inteligencija kroz poslovne slucajeve, Lider press, Tim Press, Zagreb, 2006.

Ian H. Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, San Francisco, 2000.

Julie Palant, SPSS Prirucnik za prezivljavanje, Mikro knjiga, Beograd, 2009.

Max Bramer, Principles of Data Mining, Sprynger-Verlag, 2007.

SlavkoVujovic, Elektronsko poslovanje i poslovna inteligencija, Čugura Print Beograd, 2005.

Published
2013-05-20
How to Cite
Teohareva-Filipova, B., & Martinovska, C. (2013). Data Mining Techniques and Tools as a Support of the Business Decision Making Process. Yearbook - Faculty of Economics, 3(1), pp.189-198. Retrieved from https://js.ugd.edu.mk/index.php/YFE/article/view/482
Issue
Vol. 3 No. 1 (2011): Yearbook 2011
Section
Articles