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pro vyhledávání: '"Comignani, Ugo"'
The automatic discovery of functional dependencies(FDs) has been widely studied as one of the hardest problems in data profiling. Existing approaches have focused on making the FD computation efficient while inspecting single relations at a time. In
Externí odkaz:
http://arxiv.org/abs/2112.09011
Autor:
Comignani, Ugo
La migration de données entre des sources aux schémas hétérogènes est un domaine en pleine croissance avec l'augmentation de la quantité de données en accès libre, et le regroupement des données à des fins d'apprentissage automatisé et de
Externí odkaz:
http://www.theses.fr/2019LYSE1127/document
In this paper, we study the problem of discovering join FDs, i.e., functional dependencies (FDs) that hold on multiple joined tables. We leverage logical inference, selective mining, and sampling and show that we can discover most of the exact join F
Externí odkaz:
http://arxiv.org/abs/2012.06237
The problem of data exchange involves a source schema, a target schema and a set of mappings from transforming the data between the two schemas. We study the problem of data exchange in the presence of privacy restrictions on the source. The privacy
Externí odkaz:
http://arxiv.org/abs/1903.09242
Autor:
BONIFATI, ANGELA1 angela.bonifati@univ-lyon1.fr, COMIGNANI, UGO1 ugo.comignani@univ-lyon1.fr, COQUERY, EMMANUEL1 emmanuel.coquery@univ-lyon1.fr, THION, ROMUALD1 romuald.thion@univ-lyon1.fr
Publikováno v:
ACM Transactions on Database Systems. Jun2019, Vol. 44 Issue 3, p1-44. 44p.
Publikováno v:
EDBT 2021-24th International Conference on Extending Database Technology
EDBT 2021-24th International Conference on Extending Database Technology, Mar 2021, Nicosia, Cyprus. ⟨10.5441/002/edbt.2021.02⟩
EDBT 2021-24th International Conference on Extending Database Technology, Mar 2021, Nicosia, Cyprus
EDBT 2021-24th International Conference on Extending Database Technology, Mar 2021, Nicosia, Cyprus. ⟨10.5441/002/edbt.2021.02⟩
EDBT 2021-24th International Conference on Extending Database Technology, Mar 2021, Nicosia, Cyprus
International audience; Exchanging data between data sources is a fundamental problem in many data science and data integration tasks. In this paper, we focus on the data exchange problem in the presence of privacy constraints on the source data, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::97fcf43ac589bd012d12002a41ad2636
https://hal.science/hal-03149043
https://hal.science/hal-03149043