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Through entrepreneurs' eyes : the Fab-spaces constellation

Mortara, Letizia; Parisot, Nicolas Gontran - In: International journal of production research 54 (2016) 23/24, pp. 7158-7180

Persistent link: https://www.econbiz.de/10011566323

Modes of innovation in knowledge-intensive business services evidence from Lombardy

Corrocher, Nicoletta; Cusmano, Lucia; Morrison, Andrea - In: Journal of evolutionary economics : JEE 19 (2009) 2, pp. 173-196

Persistent link: https://www.econbiz.de/10003815989

An Empirical Analysis of Classification of Fixed Income Securities Exchanges : Clustering and Profiling

Ahamed, Naseem - 2012

Fund managers always keep their tab on the market, and keep searching for avenues where they can park their assets for a higher return. Although the equity markets, all over the world are much more popular for such activities, and have started to assume a more prominent role during the past...

Persistent link: https://www.econbiz.de/10013100956

A real data-driven clustering approach for countries based on happiness score

Chakraborty, Aditya; Tsokos, Chris P. - In: Amfiteatru economic : an economic and business research … 23 (2021) 15, pp. 1031-1045

according to their happiness score. The three leading countries in terms of happiness from cluster 1 (medium happiness), cluster … 2 (high happiness), and cluster 3 (low happiness) are Oman, Denmark, and Guyana, respectively, followed by United Arab … Emirates, Finland, and Pakistan. Finally, we use four popular machine learning classification algorithms to validate our …

Persistent link: https://www.econbiz.de/10012939999

Classification of regions according to the dominant innovation barriers : the characteristics and stability of regional archetypes in Germany

Hertrich, Tobias Johannes; Brenner, Thomas - 2021

cluster analysis is conducted for the German labor market area. Based on these characteristics six archetypes are identified …. These archetypes are found to be relatively stable over time, confirming that such a classification can be considered a good … basis for policy measures. Furthermore, this classification allows to identify trends that might lead to problems in the …

Persistent link: https://www.econbiz.de/10012990455

From Noun Clusters to Taxonomies on Untagged Corpora

Lupşa, Dana Avram - 2018

Clustering nouns can be useful in construction of a set of synonyms for word sense disambiguation, to perform query expansion in a QA system [10], to build ontology from a text, in data mining, etc., especially for languages different to English for which doesn't exist such hierarchy as WordNet...

Persistent link: https://www.econbiz.de/10012918787

RFCC : Random Forest Consensus Clustering for Regression and Classification

Marquart, Ingo; Koca Marquart, Ebru - 2021

Random forests are invariant and robust estimators that can fit complex interactions between input data of different types and binary, categorical, or continuous outcome variables, including those with multiple dimensions. In addition to these desirable properties, random forests impose a...

Persistent link: https://www.econbiz.de/10013238817