Torlone, Riccardo
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1

Design and Development of a Provenance Capture Platform for..:

, In: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW),
Gregori, Luca ; Missier, Paolo ; Stidolph, Matthew.. - p. 285-290 , 2024
 
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2

Supporting Better Insights of Data Science Pipelines with F..:

Chapman, Adriane ; Lauro, Luca ; Missier, Paolo.
ACM Transactions on Database Systems.  49 (2024)  2 - p. 1-42 , 2024
 
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3

DPDS: assisting data science with data provenance:

Chapman, Adriane ; Lauro, Luca ; Missier, Paolo.
Proceedings of the VLDB Endowment.  15 (2022)  12 - p. 3614-3617 , 2022
 
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4

Editorial: Special Issue on Data Quality and Ethics:

Firmani, Donatella ; Tanca, Letizia ; Torlone, Riccardo
Journal of Data and Information Quality.  14 (2022)  4 - p. 1-3 , 2022
 
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5

A meta-algorithm for finding large k-plexes:

Conte, Alessio ; Firmani, Donatella ; Patrignani, Maurizio.
Knowledge and Information Systems.  63 (2021)  7 - p. 1745-1769 , 2021
 
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6

Preference queries over taxonomic domains:

Ciaccia, Paolo ; Martinenghi, Davide ; Torlone, Riccardo
Proceedings of the VLDB Endowment.  14 (2021)  10 - p. 1859-1871 , 2021
 
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7

Data modeling in the NoSQL world:

Atzeni, Paolo ; Bugiotti, Francesca ; Cabibbo, Luca.
Computer Standards & Interfaces.  67 (2020)  - p. 103149 , 2020
 
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8

The Right (Provenance) Hammer for the Job: A Comparison of ..:

, In: Provenance in Data Science; Advanced Information and Knowledge Processing,
 
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12

Ethical Dimensions for Data Quality:

Firmani, Donatella ; Tanca, Letizia ; Torlone, Riccardo
Journal of Data and Information Quality (JDIQ).  12 (2019)  1 - p. 1-5 , 2019
 
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13

Meta-mappings for schema mapping reuse:

Atzeni, Paolo ; Bellomarini, Luigi ; Papotti, Paolo.
Proceedings of the VLDB Endowment.  12 (2019)  5 - p. 557-569 , 2019
 
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14

Meta-mappings for schema mapping reuse:

Atzeni, Paolo ; Bellomarini, Luigi ; Papotti, Paolo.
Proceedings of the VLDB Endowment.  12 (2019)  5 - p. 557-569 , 2019
 
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15

Finding Preferred Objects with Taxonomies:

, In: Conceptual Modeling; Lecture Notes in Computer Science,
 
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