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Franco Turini
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Conference Paper
F. Giannotti
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Complex Reasoning on Geographical Data
”
, in
SEBD
, 2001, pp. 331-338.
Google Scholar
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F. Giannotti
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Complex Reasoning on Geographical Data
”
, in
SEBD
, 2001, pp. 331-338.
Google Scholar
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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
Google Scholar
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B. Thanh Luong
,
Ruggieri, S.
, and
Turini, F.
,
“
Classification Rule Mining Supported by Ontology for Discrimination Discovery
”
, in
Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on
, 2016.
DOI
Google Scholar
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S. Rinzivillo
and
Turini, F.
,
“
Classification in Geographical Information Systems
”
, in
PKDD
, 2004, pp. 374-385.
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A. Brogi
,
Renso, C.
, and
Turini, F.
,
“
Amalgamating Language and Meta-language for Composing Logic Programs
”
, in
GULP-PRODE (2)
, 1994, pp. 408-422.
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P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
An abstract state machine (ASM) representation of learning process in FLOSS communities
”
, in
International Conference on Software Engineering and Formal Methods
, 2014.
DOI
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Book Chapter
F. Turini
and
Furletti, B.
,
“
What else can be extracted from ontologies? Influence Rules
”
, in
Software and Data Technologies
, Springer, 2012.
Google Scholar
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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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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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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.
Google Scholar
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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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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. Pedreschi
,
Ruggieri, S.
, and
Turini, F.
,
“
The discovery of discrimination
”
, in
Discrimination and privacy in the information society
, Springer, 2013, pp. 91–108.
Google Scholar
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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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Book
B. Bertolino
,
Meo, L.
,
Pedreschi, D.
, and
Turini, F.
,
The Type System of LML
. 1992, pp. 313-332.
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