Pennacchioli Diego
I was born 25th August 1982 in Lanciano, Italy.
I've got my master degree in Business Informatics (University of Pisa) the 12th December 2008, with lode and my thesis title was "Bayesian Methods for Discrimination Discovery".
I've started my bachelor study in October 2001 in Economy and Computer Science at University "G. D'Annunzio" of Chieti-Pescara. I've got my bachelor degree in 2005.
- Position
- Post Doc
- Affiliation
- Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)
- Room
- C61-A
- Phone
- +39 050 315 3477
Projects
BDSE - Big Data For Smart Energy
DataSIM - DataSIM
Publications
2016
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, “Going Beyond GDP to Nowcast Well-Being Using Retail Market Data”, in Advances in Network Science, Springer International Publishing, 2016, pp. 29–42.
2015
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, “Behavioral Entropy and Profitability in Retail”, in IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, 2015.
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, “Interaction Prediction in Dynamic Networks exploiting Community Discovery”, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.
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, “Product assortment and customer mobility”, EPJ Data Science, vol. 4, pp. 1–18, 2015.
2014
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, “The patterns of musical influence on the Last.Fm social network”, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
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, “Overlap versus partition: marketing classification and customer profiling in complex networks of products”, in Data engineering workshops (ICDEW), 2014 IEEE 30th international conference on, 2014.
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, “The retail market as a complex system”, EPJ Data Science, vol. 3, pp. 1–27, 2014.
2013
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, “The Three Dimensions of Social Prominence”, in Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings, 2013.
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, “You Know Because I Know”: a Multidimensional Network Approach to Human Resources Problem”, in ASONAM 2013, 2013.
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, “Explaining the PRoduct Range Effect in Purchase Data”, IEEE Big Data. 2013.
