Provenance for Data-Intensive Systems

Pubblicazioni

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Autori: Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Pubblicato in: Proceedings of the 2020 SIGMOD Conference, 2020
Editore: SIGMOD Conference 2020,

Computing the Shapley Value of Facts in Query Answering

Autori: Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet
Pubblicato in: CoRR abs, 2021
Editore: CoRR abs

ExplainED: Explanations for EDA Notebooks

Autori: Deutch, Daniel ; Gilad, Amir ; Milo, Tova ; Somech, Amit
Pubblicato in: Proceedings of the VLDB Endowment, 2020
Editore: Proceedings of the VLDB Endowment
DOI: 10.14778/3415478.3415508

PITA: Privacy Through Provenance Abstraction

Autori: Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
Pubblicato in: 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021
Editore: IEEE
DOI: 10.1109/icde51399.2021.00311

Just in Time: Personal Temporal Insights for Altering Model Decisions

Autori: Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Pubblicato in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Pagina/e 1988-1991, ISBN 978-1-5386-7474-1
Editore: IEEE
DOI: 10.1109/icde.2019.00221

Explaining Missing Query Results in Natural Language

Autori: Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
Pubblicato in: 2020
Editore: OpenProceedings.org

Reverse-Engineering Conjunctive Queries from Provenance Examples

Autori: Daniel Deutch, Amir Gilad
Pubblicato in: 2019
Editore: openproceedings.org

On Multiple Semantics for Declarative Database Repairs

Autori: Amir Gilad, Daniel Deutch, Sudeepa Roy
Pubblicato in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Pagina/e 817-831, ISBN 9781-450367356
Editore: ACM
DOI: 10.1145/3318464.3389721

T-REx: Table Repair Explanations

Autori: Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
Pubblicato in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Pagina/e 2765-2768, ISBN 9781-450367356
Editore: ACM
DOI: 10.1145/3318464.3384700

Hypothetical Reasoning via Provenance Abstraction

Autori: Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Pubblicato in: Proceedings of the 2019 International Conference on Management of Data - SIGMOD '19, 2019, Pagina/e 537-554, ISBN 9781-450356435
Editore: ACM Press
DOI: 10.1145/3299869.3300084

COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning

Autori: Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Pubblicato in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Pagina/e 2016-2019, ISBN 978-1-5386-7474-1
Editore: IEEE
DOI: 10.1109/icde.2019.00228

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Autori: Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Pubblicato in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Pagina/e 415-429, ISBN 9781-450367356
Editore: ACM
DOI: 10.1145/3318464.3380578

MuSe: Multiple Deletion Semantics for Data Repair

Autori: Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy
Pubblicato in: Proceedings of the VLDB Endowment, 2020
Editore: ASSOC COMPUTING MACHINERY
DOI: 10.14778/3415478.3415509

Explanations for Data Repair through Shapley Values

Autori: Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
Pubblicato in: International Conference on Information and Knowledge Management, Proceedings, 2021
Editore: International Conference on Information and Knowledge Management, Proceedings
DOI: 10.1145/3459637.3482341

Explaining Natural Language query results

Autori: Daniel Deutch, Nave Frost, Amir Gilad
Pubblicato in: The VLDB Journal, Numero 29/1, 2020, Pagina/e 485-508, ISSN 1066-8888
Editore: Springer Verlag
DOI: 10.1007/s00778-019-00584-7

Personal insights for altering decisions of tree-based ensembles over time

Autori: Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Pubblicato in: Proceedings of the VLDB Endowment, Numero 13/6, 2020, Pagina/e 798-811, ISSN 2150-8097
Editore: PVLDB
DOI: 10.14778/3380750.3380752

Datalignment: Ontology Schema Alignment Through Datalog Containment

Autori: Daniel Deutch, Evgeny Marants, Yuval Moskovitch
Pubblicato in: Proceedings of the VLDB Endowment, 2019, Pagina/e 1870-1873, ISSN 2150-8097
Editore: PVLDB

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