Kohonen neural networks in data analysis. A usage attempt in data mining regerding geographic regions in Poland (Sieci neuronowe Kohonera w przeprowadzaniu analiz danych. Proba wykorzystania w eksploracji danych dotyczacych jednostek terytorialnych)
Mirosława Lasek and
Ada Myzik ()
Additional contact information
Ada Myzik: Wydzial Nauk Ekonomicznych Uniwersytetu Warszawskiego
Problemy Zarzadzania, 2012, vol. 10, issue 38, 124-147
Abstract:
In the article the authors present results of analyses aimed at detecting dependencies in the collected data, their graphical presentation and interpretation with the aid of Kohonen neural network. For illustration of data analyses with Kohonen techniques, examples concerning varied restaurants and catering business objects, business entities, sport facilities in provinces of Poland are presented. Analyses were performed on simple data sets as well as on more complex sets with many observations and variables. For the purpose of data analyses and the results’ interpretation, SAS software was used. Classification-JEL:
Date: 2012
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://press.wz.uw.edu.pl/ems/vol10/iss38/24 (application/pdf)
http://pz.wz.uw.edu.pl/en (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sgm:pzwzuw:v:10:i:38:y:2012:p:124-147
Access Statistics for this article
More articles in Problemy Zarzadzania from University of Warsaw, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by ().