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Clustering Global Entrepreneurship through Data Mining Technique

Clustering Global Entrepreneurship through Data Mining Technique

Paula Odete Fernandes, Rui Pedro Lopes
Copyright: © 2015 |Pages: 13
ISBN13: 9781466683488|ISBN10: 1466683481|EISBN13: 9781466683495
DOI: 10.4018/978-1-4666-8348-8.ch027
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MLA

Fernandes, Paula Odete, and Rui Pedro Lopes. "Clustering Global Entrepreneurship through Data Mining Technique." Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship, edited by Luís M. Carmo Farinha, et al., IGI Global, 2015, pp. 469-481. https://doi.org/10.4018/978-1-4666-8348-8.ch027

APA

Fernandes, P. O. & Lopes, R. P. (2015). Clustering Global Entrepreneurship through Data Mining Technique. In L. Carmo Farinha, J. Ferreira, H. Smith, & S. Bagchi-Sen (Eds.), Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship (pp. 469-481). IGI Global. https://doi.org/10.4018/978-1-4666-8348-8.ch027

Chicago

Fernandes, Paula Odete, and Rui Pedro Lopes. "Clustering Global Entrepreneurship through Data Mining Technique." In Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship, edited by Luís M. Carmo Farinha, et al., 469-481. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8348-8.ch027

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Abstract

The purpose of this chapter is to contribute for the identification of groups of countries that share similar patterns regarding the characteristics of Global Entrepreneurship and capturing features of entrepreneurship by focusing on entrepreneurial attitudes and entrepreneurial activity. For this purpose, 67 countries from 2013 GEM survey were selected, and Data Mining Methodology was used. In particular, evolutionary computation is used to determine a finite set of categories to describe the data set according to multi-dimensional similarities among its objects. In other words, several clustering algorithms where used, to get the best categories possible. The results show four clusters with different entrepreneurial attitudes among the countries - very high, medium and low entrepreneurial attitudes and entrepreneurial activities.

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