Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zheguang Zhao"'
Autor:
Muhammad El-Hindi, Tobias Ziegler, Matthias Heinrich, Adrian Lutsch, Zheguang Zhao, Carsten Binnig
Publikováno v:
Data Management on New Hardware.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69e3be5a88584c63c8dbc9613bcfe719
https://doi.org/10.1145/3533737.3535098
https://doi.org/10.1145/3533737.3535098
Publikováno v:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare ISBN: 9783030936624
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b571714e206387e5825cbffab2a3421a
https://doi.org/10.1007/978-3-030-93663-1_5
https://doi.org/10.1007/978-3-030-93663-1_5
Autor:
Shaden Smith, Theodore L. Willke, Zheguang Zhao, Subramanya R. Dulloor, Narayanan Sundaram, Mihai Capota, Michael R. Anderson, Nadathur Satish
Publikováno v:
Proceedings of the VLDB Endowment. 10:901-912
Apache Spark is a popular framework for data analytics with attractive features such as fault tolerance and interoperability with the Hadoop ecosystem. Unfortunately, many analytics operations in Spark are an order of magnitude or more slower compare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3109cf0a1de3d577a25509af94b04510
https://doi.org/10.14778/3090163.3090168
https://doi.org/10.14778/3090163.3090168
Publikováno v:
other univ website
CHI
CHI
© 2018 Association for Computing Machinery. The goal of a visualization system is to facilitate data-driven insight discovery. But what if the insights are spurious? Features or patterns in visualizations can be perceived as relevant insights, even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049e7df8de3105a56c2af3ea87723ffb
https://hdl.handle.net/1721.1/137892
https://hdl.handle.net/1721.1/137892
Publikováno v:
SIGMOD Conference
Exploring data via visualization has become a popular way to understand complex data. Features or patterns in visualization can be perceived as relevant insights by users, even though they may actually arise from random noise. Moreover, interactive d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bff1b6a289f544eb4005858df6629f3a
https://doi.org/10.1145/3035918.3058749
https://doi.org/10.1145/3035918.3058749
Publikováno v:
SIGMOD Conference
Recent tools for interactive data exploration significantly increase the chance that users make false discoveries. The crux is that these tools implicitly allow the user to test a large body of different hypotheses with just a few clicks thus incurri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b11dda9a86d668a9ed54d38f3d87c47b
http://arxiv.org/abs/1612.01040
http://arxiv.org/abs/1612.01040
Publikováno v:
HILDA@SIGMOD
Visualizations are arguably the most important tool to explore, understand and convey facts about data. As part of interactive data exploration, visualizations might be used to quickly skim through the data and look for patterns. Unfortunately, datab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f43e9c72376f4c731bde24342a9ea620
https://doi.org/10.1145/2939502.2939507
https://doi.org/10.1145/2939502.2939507
Autor:
Subramanya R. Dulloor, Rajesh M. Sankaran, Narayanan Sundaram, Zheguang Zhao, Jeff Jackson, Amitabha Roy, Nadathur Satish, Karsten Schwan
Publikováno v:
EuroSys
Memory-based data center applications require increasingly large memory capacities, but face the challenges posed by the inherent difficulties in scaling DRAM and also the cost of DRAM. Future systems are attempting to address these demands with hete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b14e87e4d4e2ccc2acb651b4aa4de318
https://doi.org/10.1145/2901318.2901344
https://doi.org/10.1145/2901318.2901344