Abstract
In this chapter, we use self-organizing maps (SOM) to discover firms clusters, analyzing data from micro-territories inside city’s boundaries, trying to exploit possible development policies. The main novelty of the approach relies on the attention to data at microscopic level: data processing in an infra-city perspective, in fact, has been neglected till now, although recent studies demonstrate that inequalities in economic and well-being conditions of people are higher among neighborhoods of the same city rather than among different cities or regions.
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Notes
- 1.
The chapter has been jointly written with Roberto Garelli and Renata Paola Dameri, whose affiliation is: Roberto Garelli, Renata Paola Dameri, DIEC, University of Genova, Italy.
- 2.
Acronym for ATtivitá ECOnomiche, i.e., economic activities.
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© 2016 Springer International Publishing Switzerland
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Resta, M. (2016). Using Local Databases to Support Smart Policy Interventions. In: Computational Intelligence Paradigms in Economic and Financial Decision Making. Intelligent Systems Reference Library, vol 99. Springer, Cham. https://doi.org/10.1007/978-3-319-21440-5_9
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DOI: https://doi.org/10.1007/978-3-319-21440-5_9
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