Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Beth Trushkowsky"'
Autor:
Colleen M. Lewis, Christine Bassem, Jason M. Grant, Felienne Hermans, Angel Kuo, Art Lopez, Beth Trushkowsky
Publikováno v:
Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d6ec75a27e2276eeed642696a7cb4bd
https://doi.org/10.1145/3545947.3569593
https://doi.org/10.1145/3545947.3569593
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5:118-127
Hybrid human-machine query processing systems, such as crowd-powered database systems, aim to broaden the scope of questions users can ask about their data by incorporating human computation to support queries that may be subjective and/or require vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb1f9bce0dfebeb390dd4dad18f8cfb9
https://doi.org/10.1609/hcomp.v5i1.13310
https://doi.org/10.1609/hcomp.v5i1.13310
Publikováno v:
Communications of the ACM. 59:118-127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea45284f82981e652be26597f478b480
https://doi.org/10.1145/2845644
https://doi.org/10.1145/2845644
Autor:
Purnamrita Sarkar, Tim Kraska, Venketaram Ramachandran, Beth Trushkowsky, Michael J. Franklin
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 27:1796-1809
Hybrid human/computer database systems promise to greatly expand the usefulness of query processing by incorporating the crowd for data gathering and other tasks. Such systems raise many implementation questions. Perhaps the most fundamental issue is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1897302c7178cacb8298a68b2ea7e1a
https://doi.org/10.1109/tkde.2014.2339857
https://doi.org/10.1109/tkde.2014.2339857
Autor:
Beth Trushkowsky
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f14c94d552cb47f733d022c8abe115a6
https://doi.org/10.1007/978-1-4614-8265-9_80660
https://doi.org/10.1007/978-1-4614-8265-9_80660
Publikováno v:
ICDE
Hybrid human/computer database systems promise to greatly expand the usefulness of query processing by incorporating the crowd for data gathering and other tasks. Such systems raise many implementation questions. Perhaps the most fundamental question
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d8e34590d4fe05af6e7a3930a6aa0a9
https://doi.org/10.1109/icde.2013.6544865
https://doi.org/10.1109/icde.2013.6544865
Autor:
Michael J. Franklin, Jesse Trutna, David A. Patterson, Beth Trushkowsky, Armando Fox, Stephen Tu, Nick Lanham, Michael Armbrust
Publikováno v:
SIGMOD Conference
Large-scale websites are increasingly moving from relational databases to distributed key-value stores for high request rate, low latency workloads. Often this move is motivated not only by key-value stores' ability to scale simply by adding more har
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89569e2c182948b10d6cc9083554f77c
https://doi.org/10.1145/1807167.1807320
https://doi.org/10.1145/1807167.1807320
Publikováno v:
WWW
We describe Dispute Finder, a browser extension that alerts a user when information they read online is disputed by a source that they might trust. Dispute Finder examines the text on the page that the user is browsing and highlights any phrases that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62cc34b65b18d831ff6de4f3e7011623
https://doi.org/10.1145/1772690.1772726
https://doi.org/10.1145/1772690.1772726
Publikováno v:
Richard Tapia Celebration of Diversity in Computing Conference
CoBib is a system that will allow affinity groups to effectively collaborate to maximize the searching and browsing utility of an academic paper database. The system will facilitate the process of surveying literature in a specific field by using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c75962e110b20b30c51726957bf59ef
https://doi.org/10.1145/1347787.1347790
https://doi.org/10.1145/1347787.1347790
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1:74-75
Search engines can yield poor results for information retrieval tasks when they cannot interpret query predicates. Such predicates are better left for humans to evaluate. We propose an adaptive processing framework for deciding (a) which parts of a q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37ca0da4f5d7c43b5bd7ad94cbdbcbff
https://doi.org/10.1609/hcomp.v1i1.13131
https://doi.org/10.1609/hcomp.v1i1.13131