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Barzan Mozafari
Barzan Mozafari
Dirección de correo verificada de umich.edu - Página principal
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Citado por
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Año
BlinkDB: queries with bounded errors and bounded response times on very large data
S Agarwal, B Mozafari, A Panda, H Milner, S Madden, I Stoica
Proceedings of the 8th ACM European conference on computer systems, 29-42, 2013
9682013
Scaling up crowd-sourcing to very large datasets: a case for active learning
B Mozafari, P Sarkar, M Franklin, M Jordan, S Madden
Proceedings of the VLDB Endowment 8 (2), 125-136, 2014
2322014
Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems
S Agarwal, H Milner, A Kleiner, A Talwalkar, M Jordan, S Madden, ...
SIGMOD, 2014
2262014
On the Evolution of Wikipedia
JC Rodrigo B. Almeida, Barzan Mozafari
International Conference on Weblogs and Social Media (ICWSM), 2007
185*2007
Verdictdb: Universalizing approximate query processing
Y Park, B Mozafari, J Sorenson, J Wang
Proceedings of the 2018 International Conference on Management of Data, 1461 …, 2018
1532018
Visualization-aware sampling for very large databases
Y Park, M Cafarella, B Mozafari
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 755-766, 2016
1452016
Performance and resource modeling in highly-concurrent oltp workloads
B Mozafari, C Curino, S Madden
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
1362013
Blink and it's done: interactive queries on very large data
S Agarwal, AP Iyer, A Panda, S Madden, B Mozafari, I Stoica
Association for Computing Machinery (ACM), 2012
1352012
Verifying and mining frequent patterns from large windows over data streams
B Mozafari, H Thakkar, C Zaniolo
ICDE, 179-188, 2008
1312008
The analytical bootstrap: a new method for fast error estimation in approximate query processing
K Zeng, S Gao, B Mozafari, C Zaniolo
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
1102014
Quicksel: Quick selectivity learning with mixture models
Y Park, S Zhong, B Mozafari
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
1042020
Database Learning: Toward a Database that Becomes Smarter Every Time
Y Park, AS Tajik, M Cafarella, B Mozafari
ACM SIGMOD, 2017
1002017
DBSherlock: A Performance Diagnostic Tool for Transactional Databases
DY Yoon, N Niu, B Mozafari
SIGMOD, 2016
972016
DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud.
B Mozafari, C Curino, S Madden
CIDR, 2013
942013
High-performance complex event processing over XML streams
B Mozafari, K Zeng, C Zaniolo
Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012
872012
A Handbook for Building an Approximate Query Engine.
B Mozafari, N Niu
IEEE Data Eng. Bull. 38 (3), 3-29, 2015
822015
Approximate query engines: Commercial challenges and research opportunities
B Mozafari
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
652017
Snappydata: A hybrid transactional analytical store built on spark
J Ramnarayan, B Mozafari, S Wale, S Menon, N Kumar, H Bhanawat, ...
Proceedings of the 2016 International Conference on Management of Data, 2153 …, 2016
562016
Active learning for crowd-sourced databases
B Mozafari, P Sarkar, MJ Franklin, MI Jordan, S Madden
arXiv preprint arXiv:1209.3686, 2012
552012
Distributed lock management with RDMA: decentralization without starvation
DY Yoon, M Chowdhury, B Mozafari
Proceedings of the 2018 International Conference on Management of Data, 1571 …, 2018
532018
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