Abstract
The proposed study deals with the analysis of the real estate market in the quarter of San Cristoforo in Catania, trying to integrate different approaches to define its possible articulation in submarkets. The first one is a phenomenal type of approach that intends to represent some of the most manifest characteristics, and provides an initial hypothesis of classification of the cases (a census has been taken of) and delimitation of the segments, taking into account the ranges of prices registered inside the different classes of the characteristics. The second consists of an in-depth clustering analysis basing on three different hypotheses of three, four and five clusters respectively. The third one is a DRSA application, which is meant to extract from the studied sample a set of rules for the possible definition of a segment representing the general market rules. Given the complexity of the studied context, the results allow different interpretations and considerations of method.
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References
Baarsch, J., Celebi, M.E.: Investigation of internal validity measures for K-means clustering. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2012, Hong Kong, Vol. I, March 14 – 16, 2012
Ball, G., Hall, D.: ISODATA, a novel method of data analysis and pattern classification. Stanford Research Institute, Menlo Park (1965)
Calinski, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat. 3, 1–27 (1974)
Dato, G.: La città di Catania. Forma e struttura, pp. 1693–1833. Officina Edizioni, Roma
Forte, C.: Elementi di estimo urbano. Etas Kompass, Milano (1968)
Greco, S., Matarazzo, B., Słowiński, R.: Rough approximation of a preference relation by dominance relations. European J. Operational Research 117, 63–83 (1999)
Greco, S., Matarazzo, B., Słowiński, R.: Rough sets theory for multicriteria decision analysis. European J. of Operational Research 129, 1–47 (2001)
Greco, S., Matarazzo, B., Słowiński, R.: Dominance-based rough set approach to knowledge discovery – (I) general perspective, (II) extensions and applications. In: Zhong, N., Liu, J. (eds.) Intelligent Technologies for Information Analysis, pp. 513–612. Springer, Berlin (2004)
Greco, S., Matarazzo, B., Słowiński, R.: Decision rule approach. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, pp. 507–563. Springer, Berlin (2005)
Halkidi, M., Batistakis, Y., Vazirgiannis, M.: On Clustering Validation Techniques. Journal of Intelligent Information Systems 17(2/3), 107–145 (2001)
Hartigan, J.: Clustering algorithms. John Wiley & Sons, Inc., New York (1975)
Jardine, N., Sibson, R.: The construction of hierarchic and non – hierarchic classifications. The Computer Journal 1, 177–184 (1968)
Krzanowski, W., Lai, Y.: A criterion for determining the number of groups in a data set using sum-of-squares clustering. Biometrics 44(1), 23–34 (1988)
Trovato, M.R., Giuffrida, S.: A DSS to assess and manage the urban performances in the regeneration plan: the case study of pachino. In: Murgante, B., et al. (eds.) ICCSA 2014, Part III. LNCS, vol. 8581, pp. 224–239. Springer, Heidelberg (2014)
Trovato, M.: A fuzzy measure of the ability of a real estate capital to increase in value. The real estate decision problem for ortigia, in appraisals. In: Evolving Proceedings in Global Change, vol. 2, pp. 697–720. Firenze University Press, Firenze (2012)
Trovato, M.R.: The real estate decision problem. a model to support the real estate market analysis. In: Rèsumés/Abstracts, 78 Meeting of the European Working Group “Multiple Criteria Decision Aiding” Catania 2013, pp. 65–66. University of Catania (2013)
Xu, L.: Bayesian ying-yang machine, clustering and number of clusters. Pattern Recogn. Lett. 18, 1167–1178 (1997)
Zhao, Q., Xu, M., Fränti, P.: Sum-of-square based cluster validity index and significance analysis. In: Proc. of the 17th Int. Conf. on Adaptive and Natural Computing Algorithms, pp. 313–322 (2009)
Zhao, Q., Fränti, P.: WB-index: A sum-of-squares based index for cluster validity. Data & Knowledge Engineering 92, 77–89 (2014)
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Gabrielli, L., Giuffrida, S., Trovato, M.R. (2015). From Surface to Core: A Multi-Layer Approach for the Real Estate Market Analysis of a Central Area in Catania. 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_20
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DOI: https://doi.org/10.1007/978-3-319-21470-2_20
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