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Author
Title
[
Type
]
Year
Book Chapter
F. Giannotti
,
Gabrielli, L.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
Understanding human mobility with big data
”
, in
Solving Large Scale Learning Tasks. Challenges and Algorithms
, Springer International Publishing, 2016, pp. 208–220.
DOI
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D. Aquilino
,
Renso, C.
, and
Turini, F.
,
“
Towards {D}eclarative {GIS} {A}nalysis
”
, 1996, pp. 99–105.
Google Scholar
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R. Guidotti
and
Cintia, P.
,
“
Towards a Boosted Route Planner Using Individual Mobility Models
”
, in
Software Engineering and Formal Methods
, Springer Berlin Heidelberg, 2015, pp. 108–123.
Google Scholar
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A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
”
, in
Evolutionary Algorithms
, InTech, 2011.
DOI
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M. Nanni
,
Kuijpers, B.
,
Körner, C.
,
May, M.
, and
Pedreschi, D.
,
“
Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 267-296.
Google Scholar
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S. Kisilevich
,
Mansmann, F.
,
Nanni, M.
, and
Rinzivillo, S.
,
“
Spatio-temporal clustering
”
, in
Data Mining and Knowledge Discovery Handbook
, 2010, pp. 855-874.
Google Scholar
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RIS
M. Wachowicz
and
Renso, C.
,
“
Spatio and Spatio-temporal Reasoning and Decision Support Tools
”
, in
Entry at Encyclopedia of Social Network Analysis and Mining
, Springer., 2013.
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R. Guidotti
,
Monreale, A.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Retrieving Points of Interest from Human Systematic Movements
”
, in
Software Engineering and Formal Methods
, Springer International Publishing, 2014, pp. 294–308.
DOI
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G. Manco
,
Baglioni, M.
,
Giannotti, F.
,
Kuijpers, B.
,
Raffaetà, A.
, and
Renso, C.
,
“
Querying and Reasoning for Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 335-374.
Google Scholar
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G. Manco
,
Baglioni, M.
,
Giannotti, F.
,
Kuijpers, B.
,
Raffaetà, A.
, and
Renso, C.
,
“
Querying and Reasoning for Spatio-Temporal Data Mining
”
, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.
Google Scholar
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A. Monreale
,
Wang, H. Wendy
,
Pratesi, F.
,
Rinzivillo, S.
,
Pedreschi, D.
,
Andrienko, G.
, and
Andrienko, N.
,
“
Privacy-Preserving Distributed Movement Data Aggregation
”
, in
Geographic Information Science at the Heart of Europe
,
D. Vandenbroucke
,
Bucher, B.
, and
Crompvoets, J.
, Eds.
Springer International Publishing, 2013, pp. 225-245.
DOI
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RIS
D. Pedreschi
,
Bonchi, F.
,
Turini, F.
,
Verykios, V. S.
,
Atzori, M.
,
Malin, B.
,
Moelans, B.
, and
Saygin, Y.
,
“
Privacy Protection: Regulations and Technologies, Opportunities and Threats
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 101-119.
Google Scholar
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V. Grossi
,
Guns, T.
,
Monreale, A.
,
Nanni, M.
, and
Nijssen, S.
,
“
Partition-Based Clustering Using Constraint Optimization
”
, in
Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach
, Springer International Publishing, 2016, pp. 282–299.
DOI
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RIS
A. Sirbu
,
Loreto, V.
,
Servedio, V. D. P.
, and
Tria, F.
,
“
Opinion dynamics: models, extensions and external effects
”
, in
Participatory Sensing, Opinions and Collective Awareness
, Springer, 2017, pp. 363–401.
DOI
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M. Nanni
,
Trasarti, R.
,
Cintia, P.
,
Furletti, B.
,
Renso, C.
,
Gabrielli, L.
,
Rinzivillo, S.
, and
Giannotti, F.
,
“
Mobility Profiling
”
, in
Data Science and Simulation in Transportation Research
, IGI Global, 2014, pp. 1-29.
DOI
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RIS
F. Giannotti
and
Pedreschi, D.
,
“
Mobility, Data Mining and Privacy: A Vision of Convergence
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 1-11.
Google Scholar
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M. Berlingerio
,
Bonchi, F.
,
Curcio, M.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation
”
, in
Biomedical Data and Applications
, 2009, pp. 211-236.
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RIS
H. Hosni
,
Masserotti, M. V.
, and
Renso, C.
,
“
Maximum Entropy Reasoning for GIS
”
, 2006.
Google Scholar
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RIS
V. D. P. Servedio
,
Caminiti, S.
,
Gravino, P.
,
Loreto, V.
,
Sirbu, A.
, and
Tria, F.
,
“
Large Scale Engagement Through Web-Gaming and Social Computations
”
, in
Participatory Sensing, Opinions and Collective Awareness
, Springer, 2017, pp. 237–254.
DOI
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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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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.
DOI
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R. Guidotti
,
Coscia, M.
,
Pedreschi, D.
, and
Pennacchioli, D.
,
“
Going Beyond GDP to Nowcast Well-Being Using Retail Market Data
”
, in
Advances in Network Science
, Springer International Publishing, 2016, pp. 29–42.
DOI
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P. Gravino
,
Sirbu, A.
,
Becker, M.
,
Servedio, V. D. P.
, and
Loreto, V.
,
“
Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson
”
, in
Participatory Sensing, Opinions and Collective Awareness
, Springer, 2017, pp. 337–362.
DOI
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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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A. Sirbu
,
Crane, M.
, and
Ruskin, H. J.
,
“
EGIA–Evolutionary Optimisation of Gene Regulatory Networks, an Integrative Approach
”
, in
Complex Networks V
, Springer International Publishing, 2014, pp. 217–229.
DOI
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