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S Rinzivillo
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A
B. Furletti
,
Trasarti, R.
,
Gabrielli, L.
,
Rinzivillo, S.
,
Pappalardo, L.
, and
Giannotti, F.
,
“
Analisi di Mobilita' con dati eterogenei
”
, ISTI - CNR, Pisa, 2012.
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M. Natilli
,
Fadda, D.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Licari, F.
,
“
Analysis and Visualization of Performance Indicators in University Admission Tests
”
, in
Formal Methods. FM 2019 International Workshops
, Cham, 2020.
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B. Furletti
,
Gabrielli, L.
,
Renso, C.
, and
Rinzivillo, S.
,
“
Analysis of GSM Calls Data for Understanding User Mobility Behavior
”
,
IEEE Big Data
. Santa Clara, California, 2013.
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B
F. Bodria
,
Giannotti, F.
,
Guidotti, R.
,
Naretto, F.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
Benchmarking and Survey of Explanation Methods for Black Box Models
”
,
CoRR
, vol. abs/2102.13076, 2021.
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C
S. Rinzivillo
and
Turini, F.
,
“
Classification in Geographical Information Systems
”
, in
PKDD
, 2004, pp. 374-385.
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V. M. de Lira
,
Times, V. C.
,
Renso, C.
, and
Rinzivillo, S.
,
“
ComeWithMe: An Activity-Oriented Carpooling Approach
”
, in
2015 {IEEE} 18th International Conference on Intelligent Transportation Systems
, 2015.
DOI
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L. Pappalardo
,
Simini, F.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Comparing General Mobility and Mobility by Car
”
, in
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), 2013 BRICS Congress on
, 2013.
DOI
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D
D. Janssens
,
Giannotti, F.
,
Nanni, M.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
Data Science for Simulating the Era of Electric Vehicles
”
,
KI - Künstliche Intelligenz
, 2012.
DOI
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S. Rinzivillo
,
Mainardi, S.
,
Pezzoni, F.
,
Coscia, M.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Discovering the Geographical Borders of Human Mobility
”
,
KI - Künstliche Intelligenz
, 2012.
DOI
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E
F. Turini
,
Baglioni, M.
,
Furletti, B.
, and
Rinzivillo, S.
,
“
Examples of Integration of Induction and Deduction in Knowledge Discovery
”
, in
Reasoning, Action and Interaction in AI Theories and Systems
, 2006, pp. 307-326.
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F. Turini
,
Baglioni, M.
,
Furletti, B.
, and
Rinzivillo, S.
,
“
Examples of Integration of Induction and Deduction in Knowledge Discovery
”
, in
Reasoning, Action and Interaction in AI Theories and Systems
, vol. 4155, 2006, pp. 307-326.
DOI
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D. Pennacchioli
,
Coscia, M.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Explaining the PRoduct Range Effect in Purchase Data
”
,
IEEE Big Data
. 2013.
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R. Trasarti
,
Rinzivillo, S.
,
Pinelli, F.
,
Nanni, M.
,
Monreale, A.
,
Renso, C.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Exploring Real Mobility Data with M-Atlas
”
, in
ECML/PKDD (3)
, 2010, pp. 624-627.
DOI
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S. Rinzivillo
and
Turini, F.
,
“
Extracting spatial association rules from spatial transactions
”
, in
ACM GIS
, 2005, pp. 79-86.
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F
G. Andrienko
,
Andrienko, N.
,
Hurter, C.
,
Rinzivillo, S.
, and
Wrobel, S.
,
“
From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data
”
,
IEEE Conference on Visual Analytics Science and Technology
. 2011.
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G
G. Andrienko
,
Andrienko, N.
,
Giannotti, F.
,
Monreale, A.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
A Generalisation-based Approach to Anonymising Movement Data
”
,
13th AGILE conference on Geographic Information Science
. 2010.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
,
Rinzivillo, S.
, and
Trasarti, R.
,
“
GeoPKDD – Geographic Privacy-aware Knowledge Discovery
”
, in
The European Future Technologies Conference (FET 2009)
, 2009.
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D. Fadda
,
Natilli, M.
, and
Rinzivillo, S.
,
“
GET-Viz: a library for automatic generation of visual dashboard for geographical time series
”
,
8th International Conference on Computational Social Science (IC2S2)
. Chicago, USA, 2022.
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M. Nanni
,
Andrienko, G.
,
Barabasi, A. - L.
,
Boldrini, C.
,
Bonchi, F.
,
Cattuto, C.
,
Chiaromonte, F.
,
Comandé, G.
,
Conti, M.
,
Coté, M.
,
Dignum, F.
,
Dignum, V.
,
Domingo-Ferrer, J.
,
Ferragina, P.
,
Giannotti, F.
,
Guidotti, R.
,
Helbing, D.
,
Kaski, K.
,
Kertész, J.
,
Lehmann, S.
,
Lepri, B.
,
Lukowicz, P.
,
Matwin, S.
,
Jiménez, D. Megías
,
Monreale, A.
,
Morik, K.
,
Oliver, N.
,
Passarella, A.
,
Passerini, A.
,
Pedreschi, D.
,
Pentland, A.
,
Pianesi, F.
,
Pratesi, F.
,
Rinzivillo, S.
,
Ruggieri, S.
,
Siebes, A.
,
Torra, V.
,
Trasarti, R.
,
van den Hoven, J.
, and
Vespignani, A.
,
“
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
”
, 2021.
DOI
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H
G. Amato
,
Candela, L.
,
Castelli, D.
,
Esuli, A.
,
Falchi, F.
,
Gennaro, C.
,
Giannotti, F.
,
Monreale, A.
,
Nanni, M.
,
Pagano, P.
,
Pappalardo, L.
,
Pedreschi, D.
,
Pratesi, F.
,
Rabitti, F.
,
Rinzivillo, S.
,
Rossetti, G.
,
Ruggieri, S.
,
Sebastiani, F.
, and
Tesconi, M.
,
“
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science
”
, in
A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
,
S. Flesca
,
Greco, S.
,
Masciari, E.
, and
Saccà, D.
, Eds.
Cham: Springer International Publishing, 2018, pp. 287 - 306.
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I
B. Furletti
,
Gabrielli, L.
,
Renso, C.
, and
Rinzivillo, S.
,
“
Identifying users profiles from mobile calls habits
”
, in
ACM SIGKDD International Workshop on Urban Computing
, Beijing, China, 2012.
DOI
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V. M. de Lira
,
Rinzivillo, S.
,
Renso, C.
,
Times, V. C.
, and
Tedesco, P. {\'ı}ciaC. A. R.
,
“
Investigating semantic regularity of human mobility lifestyle
”
, in
18th International Database Engineering {&} Applications Symposium, {IDEAS} 2014, Porto, Portugal, July 7-9, 2014
, Porto, Portugal, 2014, pp. 314–317.
DOI
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K
S. Rinzivillo
,
Turini, F.
,
Bogorny, V.
,
Körner, C.
,
Kuijpers, B.
, and
May, M.
,
“
Knowledge Discovery from Geographical Data
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 243-265.
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S. Rinzivillo
and
Turini, F.
,
“
Knowledge discovery from spatial transactions
”
,
Journal of Intelligent Information Systems
, vol. 28, pp. 1-22, 2007.
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L
R. Guidotti
,
Monreale, A.
, and
Rinzivillo, S.
,
“
Learning Data Mining
”
, in
2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)
, 2018.
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