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G
F. Giannotti
,
Manco, G.
, and
Turini, F.
,
“
Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study
”
, in
PKDD
, 2001, pp. 128-139.
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F. Giannotti
,
Pedreschi, D.
, and
Theodoridis, Y.
,
“
Geographic privacy-aware knowledge discovery and delivery
”
, in
EDBT
, 2009, pp. 1157-1158.
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F. Giannotti
,
Gozzi, C.
, and
Manco, G.
,
“
Clustering Transactional Data
”
, in
PKDD
, 2002, pp. 175-187.
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F. Giannotti
,
“
Invited talk: Logical Data Mining Query Languages
”
, in
KDID
, 2002, p. 1.
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F. Giannotti
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Complex Reasoning on Geographical Data
”
, in
SEBD
, 2001, pp. 331-338.
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F. Giannotti
and
Manco, G.
,
“
LDL-M$_{\mbox{ine}}$: Integrating Data Mining with Intelligent Query Answering
”
, in
JELIA
, 2002, pp. 517-520.
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F. Giannotti
and
Pedreschi, D.
,
Mobility, Data Mining and Privacy - Geographic Knowledge Discovery
. Springer, 2008.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
, and
Pinelli, F.
,
“
Trajectory pattern analysis for urban traffic
”
, in
Second International Workshop on Computational Transportation Science
, SEATTLE, USA, 2009, pp. 43-47.
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F. Giannotti
,
Gozzi, C.
, and
Manco, G.
,
“
Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering
”
, in
ITCC
, 2002, p. 312.
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F. Giannotti
,
Pedreschi, D.
, and
Turini, F.
,
“
Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project
”
, in
PinKDD
, 2008, pp. 25-32.
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F. Giannotti
,
Greco, S.
,
Saccà, D.
, and
Zaniolo, C.
,
“
Programming with Non-Determinism in Deductive Databases
”
,
Ann. Math. Artif. Intell.
, vol. 19, pp. 97-125, 1997.
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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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P. Gravino
,
Caminiti, S.
,
Sirbu, A.
,
Tria, F.
,
Servedio, V. D. P.
, and
Loreto, V.
,
“
Unveiling Political Opinion Structures with a Web-experiment
”
, in
Proceedings of the 1st International Conference on Complex Information Systems
, 2016.
DOI
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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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V. Grossi
,
Monreale, A.
,
Nanni, M.
,
Pedreschi, D.
, and
Turini, F.
,
“
Clustering Formulation Using Constraint Optimization
”
, in
Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers
, 2015.
DOI
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V. Grossi
,
Romei, A.
, and
Ruggieri, S.
,
“
A Case Study in Sequential Pattern Mining for IT-Operational Risk
”
, in
ECML/PKDD (1)
, 2008, pp. 424-439.
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V. Grossi
,
Pedreschi, D.
, and
Turini, F.
,
“
Data Mining and Constraints: An Overview
”
, in
Data Mining and Constraint Programming
, Springer International Publishing, 2016, pp. 25–48.
DOI
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V. Grossi
,
Romei, A.
, and
Turini, F.
,
“
Survey on using constraints in data mining
”
,
Data Mining and Knowledge Discovery
, vol. 31, pp. 424–464, 2017.
DOI
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B. Guidi
,
Michienzi, A.
, and
Rossetti, G.
,
“
Towards the dynamic community discovery in decentralized online social networks
”
,
Journal of Grid Computing
, vol. 17, pp. 23–44, 2019.
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B. Guidi
,
Michienzi, A.
, and
Rossetti, G.
,
“
Dynamic community analysis in decentralized online social networks
”
, in
European Conference on Parallel Processing
, 2017.
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R. Guidotti
,
Monreale, A.
, and
Pedreschi, D.
,
“
The AI black box Explanation Problem
”
,
ERCIM NEWS
, pp. 12–13, 2019.
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R. Guidotti
,
Monreale, A.
,
Ruggieri, S.
,
Turini, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
A survey of methods for explaining black box models
”
,
ACM computing surveys (CSUR)
, vol. 51, p. 93, 2018.
DOI
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R. Guidotti
,
Rossetti, G.
, and
Pedreschi, D.
,
“
Audio Ergo Sum
”
, in
Federation of International Conferences on Software Technologies: Applications and Foundations
, 2016.
DOI
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R. Guidotti
,
Monreale, A.
, and
Cariaggi, L.
,
“
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers
”
, in
Pacific-Asia Conference on Knowledge Discovery and Data Mining
, 2019.
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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.
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