Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Dan Suciu"'
Publikováno v:
Logical Methods in Computer Science, Vol Volume 18, Issue 2 (2022)
We present a constant-round algorithm in the massively parallel computation (MPC) model for evaluating a natural join where every input relation has two attributes. Our algorithm achieves a load of $\tilde{O}(m/p^{1/\rho})$ where $m$ is the total siz
Externí odkaz:
https://doaj.org/article/92e008b08ea4428ca710e51123a66406
Autor:
Batya Kenig, Dan Suciu
Publikováno v:
Logical Methods in Computer Science, Vol Volume 18, Issue 1 (2022)
Integrity constraints such as functional dependencies (FD) and multi-valued dependencies (MVD) are fundamental in database schema design. Likewise, probabilistic conditional independences (CI) are crucial for reasoning about multivariate probability
Externí odkaz:
https://doaj.org/article/04e2ad0d45d34300a58907bffcd4e253
Autor:
Landon T Detwiler, Dan Suciu, Joshua D Franklin, Eider B Moore, Andrew V Poliakov, Eunjung S Lee, David P Corina, George A Ojemann, James F Brinkley
Publikováno v:
Frontiers in Neuroinformatics, Vol 3 (2009)
This paper addresses the need for relatively small groups of collaborating investigators to integrate distributed and heterogeneous data about the brain. Although various national efforts facilitate large-scale data sharing, these approaches are gene
Externí odkaz:
https://doaj.org/article/fd687267b5b64114a844d10035193188
Publikováno v:
ACM SIGMOD Record. 51:6-17
Modern data analytics applications, such as knowledge graph reasoning and machine learning, typically involve recursion through aggregation. Such computations pose great challenges to both system builders and theoreticians: first, to derive simple ye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48bf7279802107123b3622decd9a487c
https://doi.org/10.1145/3552490.3552492
https://doi.org/10.1145/3552490.3552492
Autor:
Alon Halevy, Surajit Chaudhuri, Juliana Freire, Dan Suciu, Volker Markl, Michael J. Franklin, Joseph M. Hellerstein, Sergey Melnik, Fatma Ozcan, Chandrasekaran Mohan, David G. Andersen, AnHai Doan, Raghu Ramakrishnan, Stratos Idreos, Tim Kraska, Tova Milo, Anastasia Ailamaki, Magdalena Balazinska, Thomas Neumann, Michael Stonebraker, Beng Chin Ooi, Raluca Ada Popa, Andrew Pavlo, Donald Kossmann, Alvin Cheung, Jignesh M. Patel, Christopher Ré, Peter Bailis, Luna Dong, Peter Boncz, Daniel J. Abadi, Philip A. Bernstein, Sailesh Krishnamurthy
Publikováno v:
Communications of the ACM. 65:72-79
Approximately every five years, a group of database researchers meet to do a self-assessment of our community, including reflections on our impact on the industry as well as challenges facing our research community. This report summarizes the discuss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89ef5a2d98061d8040d8e15b7bcf63de
https://doi.org/10.1145/3524284
https://doi.org/10.1145/3524284
Sophisticated machine models are increasingly used for high-stakes decisions in everyday life. There is an urgent need to develop effective explanation techniques for such automated decisions. Rule-Based Explanations have been proposed for high-stake
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5634e9f907c4b5ca0bcdb7077cc9354
http://arxiv.org/abs/2210.17071
http://arxiv.org/abs/2210.17071
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c4cbaeaa95c73a43d1182f7625b3c5
https://doi.org/10.1145/3514221.3517827
https://doi.org/10.1145/3514221.3517827
Autor:
Rachel Pottinger, Yufei Tao, Eduard C. Dragut, Dan Suciu, John Lateulere, AnHai Doan, Bill Howe, Tilmann Rabl, David Maier, Joanne Lateulere, Kristin Tufte, Wang-Chiew Tan, Mostafa Milani
Publikováno v:
ACM SIGMOD Record. 49:43-54
This document collects the experiences and advice from the organizers of the SIGMOD/PODS 2020, which shifted on short notice to an online-only conference. It is mainly intended for others who are organizing online conferences, but some of it may be o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e0338937bbac4499b6503beee987a6b
https://doi.org/10.1145/3444831.3444841
https://doi.org/10.1145/3444831.3444841
Publikováno v:
ACM SIGMOD Record. 49:34-41
Fairness is increasingly recognized as a critical component of machine learning systems. However, it is the underlying data on which these systems are trained that often reflect discrimination, suggesting a database repair problem. Existing treatment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::175a4bf2ea2a3a2792b01f856c335635
https://doi.org/10.1145/3422648.3422657
https://doi.org/10.1145/3422648.3422657
Publikováno v:
Proceedings of the VLDB Endowment. 13:2985-2988
Understanding cause-and-effect is key for informed decision-making. The gold standard in causal inference is performing controlled experiments, which may not always be feasible due to ethical, legal, or cost constraints. As an alternative, inferring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be5d3e6cf0f5a812815fee7679488f9a
https://doi.org/10.14778/3415478.3415525
https://doi.org/10.14778/3415478.3415525