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Statistical Learning and Data Mining

Present position: Researcher in Statistics at the Department of Economics and Law, University of Cassino and Southern Lazio.

Education: PhD in Computational Statistics.

Research interest: Exploratory data analysis, clustering, visualization, data mining.

Awards/Scientific Positions:

Memberships/Refereeing for Journals: Correspondence Analysis and Related Methods group.


Main Publications:

Alfonso Iodice D’Enza and Francesco Palumbo. Iterative Factor Clustering of Binary Data. Computational Statistics, Online first, 2012. DOI: 10.1007/s00180-012-0329-x

Alfonso Iodice D’Enza and Francesco Palumbo. Dynamic data analysis of evolving association patterns. In Classification and Data Mining, 2012 (in press, due 10/2012).

Matteo de Notaris, Domenico Solari, Luigi M. Cavallo, Alfonso Iodice D’Enza, Neurorad BCN, Alberto Prats-Galino, Paolo Cappabianca, The suprasellar notch: the tuberculum sellae as seen from below. Definition, features and clinical implications from an endoscopic endonasal perspective Journal of Neurosurgery 12/2011; 116(3):622-9. DOI:10.3171/2011.11.JNS111162

Alfonso Iodice D’Enza and Michael Greenacre. Multiple correspondence analysis for the quantification and visualization of large categorical data sets. In Di Ciaccio, Agostino; Coli, Mauro; Angulo Ibanez, Jose Miguel (Eds.) Advanced Statistical Methods for the Analysis of Large Data-Sets, Studies in Theoretical and Applied Statistics, 2011. ISBN 978-3-642-21036-5. Springer.

Alfonso Iodice D’Enza and Francesco Palumbo. A regulatory impact analysis (RIA) approach based on evolutionary association patterns. Statistica Applicata, vol. 20; p. 217-231 2010. ISSN: 1125-1964.

Francesco Palumbo and Alfonso Iodice D’Enza. Clustering and dimensionality reduction to discover interesting patterns in binary data. Pages 45-55. In A. Fink, B. Lausen, W. Seidel and A. Ultsch, editors, Advances in Data Analysis, Data Handling and Business Intelligence Springer, Heidelberg. December 2009. ISBN: 978-3-642-01045-3.

Francesco Palumbo and Alfonso Iodice D’Enza. A two-step iterative procedure for clustering of binary sequences, page 50-60. In F. Palumbo, C. Lauro, and M. Greenacre, editors, Data Analysis And Classification. Springer, Heidelberg. December 2009. ISBN/ISSN: 978-3-642-03738-2.

Alfonso Iodice D’Enza, Francesco Palumbo, and Michael J. Greenacre. Exploratory data analysis leading towards the most interesting simple association rules. Computational Statistics and Data Analysis, 2008, 52(6):3269–3281, ISSN: 0167 - 9473/.

[Ultima modifica: mercoledì 13 settembre 2017]