Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Jennie Rogers"'
Autor:
Kimberly R. Marion Suiseeya, Margaret G. O’connell, Edith Leoso, Marvin Shingwe Biness Neme Defoe, Alexandra Anderson, Megan Bang, Pete Beckman, Anne-Marie Boyer, Jennifer Dunn, Jonathan Gilbert, Josiah Hester, Daniel E. Horton, Dylan Bizhikiins Jennings, Philomena Kebec, Nancy C. Loeb, Patricia Loew, William M. Miller, Katie Moffitt, Aaron I. Packman, Michael Waasegiizhig Price, Beth Redbird, Jennie Rogers, Rajesh Sankaran, James Schwoch, Pamala Silas, Weston Twardowski, Nyree Zerega
Publikováno v:
The ANNALS of the American Academy of Political and Social Science. 700:166-182
Despite decades of climate science research, existing climate actions have had limited impacts on mitigating climate change. Efforts to reduce emissions, for example, have yet to spur sufficient action to reduce the most severe effects of climate cha
Publikováno v:
Proceedings of the VLDB Endowment. 13:2691-2705
A private data federation enables clients to query the union of data from multiple data providers without revealing any extra private information to the client or any other data providers. Unfortunately, this strong end-to-end privacy guarantee requi
Organizations often collect private data and release aggregate statistics for the public's benefit. If no steps toward preserving privacy are taken, adversaries may use released statistics to deduce unauthorized information about the individuals desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27787222b5bba9dbb0fc131e63140fad
http://arxiv.org/abs/2201.05964
http://arxiv.org/abs/2201.05964
Publikováno v:
SIGMOD Conference
Computing technology has enabled massive digital traces of our personal lives to be collected and stored. These datasets play an important role in numerous real-life applications and research analysis, such as contact tracing for COVID 19, but they c
Publikováno v:
Proceedings of the VLDB Endowment. 12:307-320
A private data federation is a set of autonomous databases that share a unified query interface offering in-situ evaluation of SQL queries over the union of the sensitive data of its members. Owing to privacy concerns, these systems do not have a tru
Publikováno v:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare ISBN: 9783030337513
Poly/DMAH@VLDB
Poly/DMAH@VLDB
We are storing and querying datasets with the private information of individuals at an unprecedented scale in settings ranging from IoT devices in smart homes to mining enormous collections of click trails for targeted advertising. Here, the privacy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22a89cee2ee3e6b62094038a19cbdeb1
https://doi.org/10.1007/978-3-030-33752-0_7
https://doi.org/10.1007/978-3-030-33752-0_7
Publikováno v:
Making Databases Work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e6a9d49062fae1eeed190d3fd8d1939
https://doi.org/10.1145/3226595.3226620
https://doi.org/10.1145/3226595.3226620
Autor:
Samuel Madden, Jeremy Kepner, Kyle O'Brien, Timothy G. Mattson, Vijay Gadepally, Michael Stonebraker, Zuohao She, Jennie Rogers, Aaron J. Elmore, Adam Dziedzic
Publikováno v:
HPEC
A polystore system is a database management system composed of integrated heterogeneous database engines and multiple programming languages. By matching data to the storage engine best suited to its needs, complex analytics run faster and flexible st
People and machines are collecting data at an unprecedented rate. Despite this newfound abundance of data, progress has been slow in sharing it for open science, business, and other data-intensive endeavors. Many such efforts are stymied by privacy c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17411e1081a8ef34c8176c0305462c3d