Barzan Mozafari

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Carlo ZanioloProfessor of Computer Science, University of California, Los AngelesPreverjeni e-poštni naslov na cs.ucla.edu
Samuel MaddenMITPreverjeni e-poštni naslov na csail.mit.edu
Yongjoo ParkUniversity of Illinois at Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
Kai ZengChief Architect, HuaweiPreverjeni e-poštni naslov na huawei.com
Aurojit PandaNYUPreverjeni e-poštni naslov na cs.nyu.edu
Dong Young YoonUniversity of MichiganPreverjeni e-poštni naslov na umich.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
Michael CafarellaPrincipal Research Scientist, MIT CSAILPreverjeni e-poštni naslov na umich.edu
Jiamin HuangUniversity of MichiganPreverjeni e-poštni naslov na umich.edu
Michael FranklinUniversity of ChicagoPreverjeni e-poštni naslov na uchicago.edu
Carlo Aldo CurinoPartner Scientist Group Manager --- GSL MicrosoftPreverjeni e-poštni naslov na microsoft.com
Grant SchoenebeckUniversity of MichiganPreverjeni e-poštni naslov na umich.edu
Thomas F. WenischProf. of CSE, University of MichiganPreverjeni e-poštni naslov na umich.edu
Junghoo ChoProfessor, UCLAPreverjeni e-poštni naslov na cs.ucla.edu
Hamid MousaviCSD, UCLAPreverjeni e-poštni naslov na cs.ucla.edu
Mosharaf ChowdhuryUniversity of MichiganPreverjeni e-poštni naslov na umich.edu
Loris D'AntoniUniversity of California-San DiegoPreverjeni e-poštni naslov na ucsd.edu
Atul PrakashProfessor of EECS, University of MichiganPreverjeni e-poštni naslov na umich.edu

Spremljaj

Barzan Mozafari

Associate Professor, University of Michigan (Ann Arbor)

Preverjeni e-poštni naslov na umich.edu - Domača stran

Databases Approximate Query Processing Active Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	988	2013
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	242	2014
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	237	2014
On the Evolution of Wikipedia JC Rodrigo B. Almeida, Barzan Mozafari International Conference on Weblogs and Social Media (ICWSM), 2007	186*	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	168	2018
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	151	2016
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	139	2013
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	134	2012
Verifying and mining frequent patterns from large windows over data streams B Mozafari, H Thakkar, C Zaniolo ICDE, 179-188, 2008	126	2008
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	115	2020
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	112	2014
DBSherlock: A Performance Diagnostic Tool for Transactional Databases DY Yoon, N Niu, B Mozafari SIGMOD, 2016	101	2016
Database Learning: Toward a Database that Becomes Smarter Every Time Y Park, AS Tajik, M Cafarella, B Mozafari ACM SIGMOD, 2017	95	2017
DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud. B Mozafari, C Curino, S Madden CIDR, 2013	94	2013
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	88	2012
A Handbook for Building an Approximate Query Engine. B Mozafari, N Niu IEEE Data Eng. Bull. 38 (3), 3-29, 2015	85	2015
Approximate query engines: Commercial challenges and research opportunities B Mozafari Proceedings of the 2017 ACM International Conference on Management of Data …, 2017	65	2017
Query rewriting via large language models J Liu, B Mozafari arXiv preprint arXiv:2403.09060, 2024	61	2024
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	56	2016
Active learning for crowd-sourced databases B Mozafari, P Sarkar, MJ Franklin, MI Jordan, S Madden arXiv preprint arXiv:1209.3686, 2012	56	2012

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