Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Amir Gilad"'
Publikováno v:
MedEdPORTAL, Vol 14 (2018)
Introduction In recent years, undergraduate and graduate medical education has been rightfully emphasizing education in quality improvement and patient safety (QIPS). However, the best methods for teaching the foundational principles of QIPS and asso
Externí odkaz:
https://doaj.org/article/1ccbb7d0891d4253a0299212d17b2ddd
Publikováno v:
Proceedings of the VLDB Endowment
We propose to demonstrate MuSe, a system for Database repairs where constraints are expressed as Declarative Rules and can be interpreted in different ways by using four different semantics. Our framework may capture common, cross-relation, repair se
Publikováno v:
Proceedings of the VLDB Endowment. 13:2917-2920
Exploratory Data Analysis (EDA) is an essential yet highly demanding task. To get a head start before exploring a new dataset, data scientists often prefer to view existing EDA notebooks - illustrative exploratory sessions that were created by fellow
A powerful way to understand a complex query is by observing how it operates on data instances. However, specific database instances are not ideal for such observations: they often include large amounts of superfluous details that are not only irrele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e19a59cff2bd4eeab43c1ead12bad9b
Autor:
Michael Fattouh, Akash Patel, Amir Gilad, Brian Smerkers, Anam Waheed, John Berk, Lawreen Connors, Vaishali Sanchorawala, Omar Siddiqi, Frederick Ruberg, Gary J Balady, Deepa M Gopal
Publikováno v:
Circulation. 144
Introduction: Cardiopulmonary exercise testing (CPET) is a prognostic tool for advanced heart failure. Whether exercise metrics can provide incremental mortality prediction in ATTRwt-CM has not been well-studied. Hypothesis: We hypothesize CPET metri
Publikováno v:
SIGMOD Conference
The generation of synthetic data is useful in multiple aspects, from testing applications to benchmarking to privacy preservation. Generating the links between relations, subject to cardinality constraints (CCs) and integrity constraints (ICs) is an
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
Publikováno v:
International Conference on Information and Knowledge Management, Proceedings
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
CIKM
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
CIKM
Data repair, i.e., the identification and fix of errors in the data, is a central component of the Data Science cycle. As such, significant research effort has been devoted to automate the repair process. Yet it still requires significant manual labo
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:
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
SIGMOD Conference
SIGMOD Conference
We study the problem of database repairs through a rule-based framework that we refer to as Delta Rules. Delta Rules are highly expressive and allow specifying complex, cross-relations repair logic associated with Denial Constraints, Causal Rules, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1712cfa54aa904f40c3e6aec30efea47
http://arxiv.org/abs/2004.05065
http://arxiv.org/abs/2004.05065