Abstract
Troina is a town in the central mountainous area of Sicily, in the Province of Enna, and well represents the general social and economic profile of this territory. Its real estate market is assumed in this study as one of the most significant ones for the description of this profile, because of its characteristics that, especially during the current economic-financial crisis, are particularly evident. The study of this market has been carried out as a basis for a possible redevelopment capital-centered policy, so that both urban/architectural and real estate characteristics have been considered within the proposed pattern. This pattern is based on the decision trees technique, a data mining procedure that allows defining the different submarkets under some specified hypotheses. The different aggregations we have figured out express different ways of assuming the real estate market profile and the directions of any policy that could boost the preservation of the historical urban context instead of promoting the outward urban spreading with further land consumption.
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References
Acciani, C., Gramazio, G.: L’Albero di Decisione quale nuovo possibile percorso valutativo. Aestimum 48, 19–38 (2006)
Anderberg, M.R.: Cluster analysis for application. Academic Press, New York (1973)
Bertrand, P.: Structural properties of pyramidal clustering. Partitioning data sets. In: Cox, I., Hansen, P., Julesz, B. (eds.) DIMACS Series in discrete mathematics and theoretical computer science, vol. 19, pp. 35–53. American Mathematical Society, Providence (1995)
Bonner, R.: On some clustering techinques. International Business Machine Journal of Research and Development. 8, 22–32 (1964)
Breiman, L., Friedman, J.H., Olsen, R.A., Stone, C.J.: Classification and regression trees, pp. 203–215. Wadsworth International Group, Belmont (1984)
Cunningham, K.M., Ogilvie, L.C.: Evaluation of hierarchical grouping techniques: a preliminary study. Computer Journal 15, 209–213 (1972)
Drucker, H., Cortes, C.: Boosting decision trees. Adv Neural Inf Process Syst 8, 479–485 (1996)
Forte, C.: Elementi di estimo urbano. Etas Kompass, Milano (1968)
Everitt, B., Landau, S., Morvene, L., Stahl, D.: Cluster Analysis, 5th edn. John Wiley and sons Ltd. (2011)
Fraley, C., Raftery, A.E.: Model-Based Clustering, Discriminant Analysis, and Density Estimation. Journal of the American Statistical Association 97(458) (2002)
Freund, Y., Schapire, R.: A decision-theoretical generalization of on-line learning and an application to boosting. J Computer Syst Sci 55, 119–139 (1997)
Gastaldi, T.: Data Mining: Alberi Decisionali e Regole Induttive per la profilazione del cliente. Science & Business 4(5–6), 16–25 (2002)
Giuffrida, S., Ferluga, G., Valenti, A.: Capitalization rates and “real estate semantic chains”. An application of clustering analysis. International Lournal of Business Intelligence and Data Mining (2015)
Hastie, T., Tibshirani, R., Friedman, J.: The elements of statistical learning. Springer-Verlag, New York (2001)
Hepşen, A., Vatansever, M.: Using Hierarchical Clustering Algorithms for Turkish Residential Market. International Journal of Economics and Finance 4, 138–150 (2012). doi:10.5539/ijef.v4n1p138
Maitra, R., Volodymyr, M., Soumendra, L.N.: Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets, Jasa (2012)
Rizzo, F.: Nuova economia. Aracne, Roma (2013)
Simonotti, M.: La segmentazione del mercato immobiliare urbano per la stima degli immobili urbani. Atti del XXVIII Incontro di studio Ce.S.E.T, Roma (1998)
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Valenti, A., Giuffrida, S., Linguanti, F. (2015). Decision Trees Analysis in a Low Tension Real Estate Market: The Case of Troina (Italy) . In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_17
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DOI: https://doi.org/10.1007/978-3-319-21470-2_17
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