Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Asvin Ananthanarayan"'
Autor:
Sahaana Suri, Eric Xu, Edward Gan, Peter Kraft, Asvin Ananthanarayan, Xi Wu, Firas Abuzaid, John Te-Jui Sheu, Matei Zaharia, Erik Meijer, Peter Bailis, Atul Shenoy, Jeffrey F. Naughton
Publikováno v:
The VLDB Journal. 30:45-70
A range of explanation engines assist data analysts by performing feature selection over increasingly high-volume and high-dimensional data, grouping and highlighting commonalities among data points. While useful in diverse tasks such as user behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac4d92bb08865cf1d054c1311dfedfe
https://doi.org/10.1007/s00778-020-00633-6
https://doi.org/10.1007/s00778-020-00633-6
Autor:
David Maier, Ying Li, Ciprian Gerea, M. Lu, Balan Sethu Raman, Peter Zabback, Ramkumar Krishnan, Ivo Jose Garcia Dos Santos, S. Bjeletich, Jonathan Goldstein, Xiaoyang Sean Wang, S. Bhat, V. Di Nicola, A. Kirilov, Tomer Verona, Torsten Grabs, Roman Schindlauer, Ping Wang, Olivier Nano, Mohamed Ali, Badrish Chandramouli, Asvin Ananthanarayan, Beysim Sezgin, S. Grell, Alex Raizman, Tihomir Tarnavski
Publikováno v:
International Conference on Very Large Data Bases (VLDB), Lyon, France
In this demo, we present the Microsoft Complex Event Processing (CEP) Server, Microsoft CEP for short. Microsoft CEP is an event stream processing system featured by its declarative query language and its multiple consistency levels of stream query p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbc0160d9b8824fba0311768e4b94f6f
https://doi.org/10.14778/1687553.1687590
https://doi.org/10.14778/1687553.1687590
Autor:
Jorge Levera, Rajiv Balachandran, Asvin Ananthanarayan, Marco Mazzucco, Xinwei Hong, Yunhong Gu, Robert L. Grossman
Publikováno v:
Parallel Computing. 29:1363-1379
We describe high performance data webs for earth science data, which are designed for interactively analyzing small to moderate size remote data sets, as well as mining distributed data sets. Achieving high performance required developing specialized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a84dc3913a7058fd6cfba17110081e0b
https://doi.org/10.1016/j.parco.2003.06.002
https://doi.org/10.1016/j.parco.2003.06.002
Publikováno v:
DBTest
Microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications. StreamInsight adopts a deterministic stream model that leverages a temporal algebra as the underlying basis for processing long-ru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69b249260176b31a24e7862ca13d0c9f
https://doi.org/10.1145/1838126.1838128
https://doi.org/10.1145/1838126.1838128