%0 Journal Article
	%A Marta Czyżewska and  Krzysztof Pancerz and  Jarosław Szkoła
	%D 2014
	%J International Journal of Economics and Management Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 86, 2014
	%T Towards Assessment of Indicators Influence on Innovativeness of Countries' Economies: Selected Soft Computing Approaches
	%U https://publications.waset.org/pdf/9998909
	%V 86
	%X The aim of this paper is to assess the influence of several indicators determining innovativeness of countries' economies by applying selected soft computing methods. Such methods enable us to identify correlations between indicators for period 2006-2010. The main attention in the paper is focused on selecting proper computer tools for solving this problem. As a tool supporting identification, the X-means clustering algorithm, the Apriori rules generation algorithm as well as Self-Organizing Feature Maps (SOMs) have been selected. The paper has rather a rudimentary character. We briefly describe usefulness of the selected approaches and indicate some challenges for further research.

	%P 616 - 620