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Giannotti, Fosca
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Pinelli, F.
,
Renso, C.
,
Rinzivillo, S.
, and
Trasarti, R.
,
“
Unveiling the complexity of human mobility by querying and mining massive trajectory data
”
,
VLDB J.
, vol. 20, pp. 695-719, 2011.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
,
Pedreschi, D.
, and
Turini, F.
,
“
Integration of Deduction and Induction for Mining Supermarket Sales Data
”
, in
SEBD
, 1999, pp. 117-131.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Pinelli, F.
,
Renso, C.
,
Rinzivillo, S.
, and
Trasarti, R.
,
“
Mobility data mining: discovering movement patterns from trajectory data
”
, in
Computational Transportation Science
, 2010, pp. 7-10.
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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
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
, and
Trasarti, R.
,
“
Mining Mobility Behavior from Trajectory Data
”
, in
CSE (4)
, 2009, pp. 948-951.
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F. Giannotti
,
Jeansoulin, R.
, and
Theodoridis, Y.
,
“
Beyond Current Technology: The Perspective of Three EC GIS Projects
”
, in
DEXA Workshop
, 1999, p. 510.
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F. Giannotti
,
Lakshmanan, L. V. S.
,
Monreale, A.
,
Pedreschi, D.
, and
Wang, H. Wendy
,
“
Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases
”
,
IEEE Systems Journal
, 2013.
DOI
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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.
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F. Giannotti
,
Lakshmanan, L. V. S.
,
Monreale, A.
,
Pedreschi, D.
, and
Wang, H. Wendy
,
“
Privacy-preserving data mining from outsourced databases.
”
, in
the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice
, 2011.
DOI
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F. Giannotti
,
Manco, G.
,
Pedreschi, D.
, and
Turini, F.
,
“
Experiences with a Logic-Based Knowledge Discovery Support Environment
”
, in
AI*IA
, 1999, pp. 202-213.
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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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F. Giannotti
,
Manco, G.
,
Pedreschi, D.
, and
Turini, F.
,
“
Experiences with a Logic-based knowledge discovery Support Environment
”
, in
1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
, 1999.
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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.
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F. Giannotti
and
Manco, G.
,
“
Making Knowledge Extraction and Reasoning Closer
”
, in
PAKDD
, 2000, pp. 360-371.
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F. Giannotti
and
Manco, G.
,
“
Declarative Knowledge Extraction with Interactive User-Defined Aggregates
”
, in
FQAS
, 2000, pp. 435-444.
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F. Giannotti
,
Nanni, M.
, and
Pedreschi, D.
,
“
Logic-Based Knowledge Discovery in Databases
”
, in
EJC
, 2000, pp. 279-283.
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F. Giannotti
,
Pedreschi, D.
, and
Zaniolo, C.
,
“
Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases
”
,
J. Comput. Syst. Sci.
, vol. 62, pp. 15-42, 2001.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Nondeterministic, Nonmonotonic Logic Databases
”
,
IEEE Trans. Knowl. Data Eng.
, vol. 13, pp. 813-823, 2001.
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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
,
Gozzi, C.
, and
Manco, G.
,
“
Clustering Transactional Data
”
, in
SEBD
, 2001, pp. 163-176.
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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
,
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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