Provenance for Data-Intensive Systems

Publications

Conference proceedings (10)

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Author(s): Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Published in: Proceedings of the 2020 SIGMOD Conference, 2020
Publisher: SIGMOD Conference 2020,

Computing the Shapley Value of Facts in Query Answering

Author(s): Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet
Published in: CoRR abs, 2021
Publisher: CoRR abs

Just in Time: Personal Temporal Insights for Altering Model Decisions

Author(s): Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Published in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Page(s) 1988-1991, ISBN 978-1-5386-7474-1
Publisher: IEEE
DOI: 10.1109/icde.2019.00221

Explaining Missing Query Results in Natural Language

Author(s): Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
Published in: 2020
Publisher: OpenProceedings.org

Reverse-Engineering Conjunctive Queries from Provenance Examples

Author(s): Daniel Deutch, Amir Gilad
Published in: 2019
Publisher: openproceedings.org

On Multiple Semantics for Declarative Database Repairs

Author(s): Amir Gilad, Daniel Deutch, Sudeepa Roy
Published in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Page(s) 817-831, ISBN 9781-450367356
Publisher: ACM
DOI: 10.1145/3318464.3389721

T-REx: Table Repair Explanations

Author(s): Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
Published in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Page(s) 2765-2768, ISBN 9781-450367356
Publisher: ACM
DOI: 10.1145/3318464.3384700

Hypothetical Reasoning via Provenance Abstraction

Author(s): Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Published in: Proceedings of the 2019 International Conference on Management of Data - SIGMOD '19, 2019, Page(s) 537-554, ISBN 9781-450356435
Publisher: ACM Press
DOI: 10.1145/3299869.3300084

COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning

Author(s): Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Published in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Page(s) 2016-2019, ISBN 978-1-5386-7474-1
Publisher: IEEE
DOI: 10.1109/icde.2019.00228

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Author(s): Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Published in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Page(s) 415-429, ISBN 9781-450367356
Publisher: ACM
DOI: 10.1145/3318464.3380578

Peer reviewed articles (3)

Explaining Natural Language query results

Author(s): Daniel Deutch, Nave Frost, Amir Gilad
Published in: The VLDB Journal, 29/1, 2020, Page(s) 485-508, ISSN 1066-8888
Publisher: Springer Verlag
DOI: 10.1007/s00778-019-00584-7

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

Author(s): Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Published in: Proceedings of the VLDB Endowment, 13/6, 2020, Page(s) 798-811, ISSN 2150-8097
Publisher: PVLDB
DOI: 10.14778/3380750.3380752

Datalignment: Ontology Schema Alignment Through Datalog Containment

Author(s): Daniel Deutch, Evgeny Marants, Yuval Moskovitch
Published in: Proceedings of the VLDB Endowment, 2019, Page(s) 1870-1873, ISSN 2150-8097
Publisher: PVLDB