Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yuval Moskovitch"'
Autor:
Yuval Moskovitch, H. V. Jagadish
Publikováno v:
Communications of the ACM. 65:118-128
Data-centric methods designed to increase end-to-end reliability of data-driven decision systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::703b84542fd0487389dd9a814c90ab8c
https://doi.org/10.1145/3500923
https://doi.org/10.1145/3500923
Publikováno v:
Proceedings of the VLDB Endowment. 15:3570-3573
Data analytics often make sense of large data sets by generalization: aggregating from the detailed data to a more general context. Given a dataset, misleading generalizations can sometimes be drawn from a cherry-picked level of aggregation to obscur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6688689b42a82792a89e6d897a4593dc
https://doi.org/10.14778/3554821.3554846
https://doi.org/10.14778/3554821.3554846
Publikováno v:
Proceedings of the VLDB Endowment. 15:59-71
Generalizing from detailed data to statements in a broader context is often critical for users to make sense of large data sets. Correspondingly, poorly constructed generalizations might convey misleading information even if the statements are techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da5228b8aac3c8a256d4644f2fe9ca3f
https://doi.org/10.14778/3485450.3485457
https://doi.org/10.14778/3485450.3485457
Publikováno v:
Proceedings of the VLDB Endowment. 14:2719-2722
The use of automated data-driven tools for decision-making has gained popularity in recent years. At the same time, the reported cases of algorithmic bias and discrimination increase as well, which in turn lead to an extensive study of algorithmic fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47cf4aa2e68111dfa5885316a3fb17ae
https://doi.org/10.14778/3476311.3476328
https://doi.org/10.14778/3476311.3476328
Publikováno v:
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69242d1f6acdd38c2ca3f94351eea049
https://doi.org/10.1145/3530800.3534528
https://doi.org/10.1145/3530800.3534528
Autor:
Yuval Moskovitch, H. V. Jagadish
Publikováno v:
Proceedings of the VLDB Endowment. 13:2829-2832
Information regarding the counts of attributes combination is central to the profiling of a data set. It may reveal bias; it can help determine fitness for use. While counts of individual attribute values may be stored in some data set profiles, ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43ae485cda3d294efe86f36ed9f7f86
https://doi.org/10.14778/3415478.3415486
https://doi.org/10.14778/3415478.3415486
Publikováno v:
Proceedings of the VLDB Endowment. 12:1870-1873
We focus on the problem of aligning ontology relations, namely finding relation names that correspond to the same or related concepts. Such alignment is a prerequisite to the integration of the multiple available Knowledge Bases many of which include
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0dbf38e6eb296f2a944e41b4eaf8fdb
https://doi.org/10.14778/3352063.3352087
https://doi.org/10.14778/3352063.3352087
Publikováno v:
ICDE
2021 IEEE 37th International Conference on Data Engineering (ICDE)
2021 IEEE 37th International Conference on Data Engineering (ICDE)
Provenance is a valuable tool for explaining and validating query results. On the other hand, provenance also reveals much of the details about the query that generated it, which may include proprietary logic that the query owner does not wish to dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e516dc6ee0490698f804e98ffe6b61b9
https://doi.org/10.1109/icde51399.2021.00311
https://doi.org/10.1109/icde51399.2021.00311
Publikováno v:
SIGMOD Conference
Organizations that collect and analyze data may wish or be mandated by regulation to justify and explain their analysis results. At the same time, the logic that they have followed to analyze the data, i.e., their queries, may be proprietary and conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887f2e23fa48240a99da0a2df09f9cbc
Publikováno v:
ICDE
The use of probabilistic datalog programs has been recently advocated for applications that involve recursive computation and uncertainty. While using such programs allows for a flexible knowledge derivation, it makes the analysis of query results a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b4199855cce0d2062536c531dcf275
https://doi.org/10.1109/icde48307.2020.00076
https://doi.org/10.1109/icde48307.2020.00076