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Title
[
Type
]
Year
Conference Paper
M. Coscia
,
Giannotti, F.
, and
Pensa, R. G.
,
“
Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography
”
, in
ASONAM
, 2009, pp. 279-283.
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M. Coscia
,
Giannotti, F.
, and
Pensa, R. G.
,
“
Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography
”
, in
ASONAM
, 2009, pp. 279-283.
Google Scholar
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F. Giannotti
,
Trasarti, R.
,
Bontcheva, K.
, and
Grossi, V.
,
“
SoBigData: Social Mining & Big Data Ecosystem
”
, in
Companion of the The Web Conference 2018 on The Web Conference 2018
, 2018.
Google Scholar
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L. Pollacci
,
Sirbu, A.
,
Giannotti, F.
,
Pedreschi, D.
,
Lucchese, C.
, and
Muntean, C. Ioana
,
“
Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter
”
, in
Conference of the Italian Association for Artificial Intelligence
, 2017.
DOI
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A. Baroni
and
Ruggieri, S.
,
“
Segregation Discovery in a Social Network of Companies
”
, in
International Symposium on Intelligent Data Analysis
, 2015.
DOI
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G. Rossetti
,
Berlingerio, M.
, and
Giannotti, F.
,
“
Scalable Link Prediction on Multidimensional Networks
”
, in
ICDM Workshops
, Vancouver, 2011, pp. 979-986.
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F. Bonchi
,
Giannotti, F.
, and
Pedreschi, D.
,
“
A Relational Query Primitive for Constraint-Based Pattern Mining
”
, in
Constraint-Based Mining and Inductive Databases
, 2004, pp. 14-37.
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R. Guidotti
and
Gabrielli, L.
,
“
Recognizing Residents and Tourists with Retail Data Using Shopping Profiles
”
, in
International Conference on Smart Objects and Technologies for Social Good
, 2017.
DOI
Google Scholar
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C. Bertazzoni
and
Giannotti, F.
,
“
RASP: A Resource Allocator for Software Projects
”
, in
IEA/AIE (Vol. 2)
, 1990, pp. 628-637.
Google Scholar
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M. E. Carboni
,
Deo, A. D.
,
Giannotti, F.
, and
Masserotti, M. V.
,
“
Ragionamento spazio-temporale con LDLT: primi esperimenti verso un sistema deduttivo per applicazioni geografiche
”
, in
SEBD
, 1996, pp. 73-90.
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F. Giannotti
and
Manco, G.
,
“
Querying Inductive Databases via Logic-Based User-Defined Aggregates
”
, in
PKDD
, 1999, pp. 125-135.
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F. Giannotti
and
Manco, G.
,
“
Querying inductive Databases via Logic-Based user-defined aggregates
”
, in
APPIA-GULP-PRODE
, 1999, pp. 605-620.
Google Scholar
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M. Nanni
and
Trasarti, R.
,
“
Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)
”
, in
SEBD
, 2010, pp. 126-133.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Query Answering in Nondeterministic, Nonmonotonic Logic Databases
”
, in
FQAS
, 1998, pp. 175-187.
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L. Milli
,
Monreale, A.
,
Rossetti, G.
,
Giannotti, F.
,
Pedreschi, D.
, and
Sebastiani, F.
,
“
Quantification Trees
”
, in
2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013
, 2013, pp. 528–536.
DOI
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L. Milli
,
Monreale, A.
,
Rossetti, G.
,
Pedreschi, D.
,
Giannotti, F.
, and
Sebastiani, F.
,
“
Quantification in Social Networks
”
, in
International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015)
, Paris, France, 2015.
DOI
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A. Raffaetà
,
Renso, C.
, and
Turini, F.
,
“
Qualitative Spatial Reasoning in a Logical Framework
”
, in
AI*IA
, 2003, pp. 78-90.
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A. Raffaetà
,
Renso, C.
, and
Turini, F.
,
“
Qualitative Reasoning in a Spatio-Temporal Language
”
, in
SEBD
, 2002, pp. 105-118.
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F. Bonchi
and
Giannotti, F.
,
“
Pushing Constraints to Detect Local Patterns
”
, in
Local Pattern Detection
, 2004, pp. 1-19.
Google Scholar
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B. Furletti
,
Bellandi, A.
,
Romei, A.
, and
Grossi, V.
,
“
PUSHING CONSTRAINTS IN ASSOCIATION RULE MINING: AN ONTOLOGY-BASED APPROACH
”
, in
IADIS International Conference WWW/Internet 2007
, 2007.
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S. Rinzivillo
,
Gabrielli, L.
,
Nanni, M.
,
Pappalardo, L.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
The purpose of motion: Learning activities from Individual Mobility Networks
”
, in
International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014
, 2014.
DOI
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L. Corbucci
,
Heikkila, M. A.
,
Noguero, D. Solans
,
Monreale, A.
, and
Kourtellis, N.
,
“
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning
”
, 2024.
Google Scholar
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P. Mascellani
and
Pedreschi, D.
,
“
Proving termination of Prolog programs
”
, in
GULP-PRODE (1)
, 1994, pp. 46-61.
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K. R. Apt
and
Pedreschi, D.
,
“
Proving Termination of General Prolog Programs
”
, in
TACS
, 1991, pp. 265-289.
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D. Pedreschi
,
“
A Proof Method for Runtime Properties of Prolog Programs
”
, in
ICLP
, 1994, pp. 584-598.
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