Neoklis Polyzotis

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Aditya ParameswaranAssociate Professor, UC BerkeleyE-mail confirmado em berkeley.edu
Steven Euijong WhangKwon Oh-Hyun Associate Professor at KAIST EE and Graduate School of AIE-mail confirmado em kaist.ac.kr
sudip royGoogleE-mail confirmado em google.com
hector garcia-molinaProfessor of Computer Science, Stanford UniversityE-mail confirmado em cs.stanford.edu
Minos GarofalakisDirector, IMSI, Athena Research Center & Professor, School of ECE, Technical Univ. of CreteE-mail confirmado em softnet.tuc.gr
Serge AbiteboulINRIA SaclayE-mail confirmado em inria.fr
Tova MiloProfessor of Computer Science, Tel Aviv UniversityE-mail confirmado em cs.tau.ac.il
Michael J. CareyBren Professor of Information and Computer Sciences, University of California, IrvineE-mail confirmado em ics.uci.edu
Jennifer WidomProfessor of Computer Science, Stanford UniversityE-mail confirmado em cs.stanford.edu
Jeff LeFevreUniversity of California, Santa CruzE-mail confirmado em soe.ucsc.edu
Magdalini EirinakiProfessor of Computer Engineering, San Jose State UniversityE-mail confirmado em sjsu.edu
Manasi VartakMITE-mail confirmado em csail.mit.edu
Jagan SankaranarayananGoogle IncE-mail confirmado em umiacs.umd.edu
Hyunjung ParkGoogleE-mail confirmado em cs.stanford.edu
Alex BeutelResearch Scientist, GoogleE-mail confirmado em google.com
Jeff DeanGoogle Senior Fellow & SVP, Google Research and HealthE-mail confirmado em google.com
Ed H. ChiGoogle Research / Google BrainE-mail confirmado em acm.org
Samuel MaddenMITE-mail confirmado em csail.mit.edu
Hakan HacigumusGoogleE-mail confirmado em hacigumus.org
Scott A. BrandtProfessor, University of California, Santa CruzE-mail confirmado em ucsc.edu

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Neoklis Polyzotis

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Databases Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
The case for learned index structures T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis Proceedings of the 2018 international conference on management of data, 489-504, 2018	620	2018
Tfx: A tensorflow-based production-scale machine learning platform D Baylor, E Breck, HT Cheng, N Fiedel, CY Foo, Z Haque, S Haykal, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	333	2017
Crowdscreen: Algorithms for filtering data with humans AG Parameswaran, H Garcia-Molina, H Park, N Polyzotis, A Ramesh, ... Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012	270	2012
Seedb: Efficient data-driven visualization recommendations to support visual analytics M Vartak, S Rahman, S Madden, A Parameswaran, N Polyzotis Proceedings of the VLDB Endowment International Conference on Very Large …, 2015	222	2015
Scihadoop: Array-based query processing in hadoop JB Buck, N Watkins, J LeFevre, K Ioannidou, C Maltzahn, N Polyzotis, ... SC'11: Proceedings of 2011 International Conference for High Performance …, 2011	198	2011
Statistical synopses for graph-structured XML databases N Polyzotis, M Garofalakis Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002	197	2002
Query recommendations for interactive database exploration G Chatzopoulou, M Eirinaki, N Polyzotis International Conference on Scientific and Statistical Database Management, 3-18, 2009	188	2009
Approximate XML query answers N Polyzotis, M Garofalakis, Y Ioannidis Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004	188	2004
Goods: Organizing google's datasets A Halevy, F Korn, NF Noy, C Olston, N Polyzotis, S Roy, SE Whang Proceedings of the 2016 International Conference on Management of Data, 795-806, 2016	178	2016
Human-assisted graph search: it's okay to ask questions A Parameswaran, AD Sarma, H Garcia-Molina, N Polyzotis, J Widom arXiv preprint arXiv:1103.3102, 2011	175	2011
Structure and value synopses for XML data graphs N Polyzotis, M Garofalakis VLDB'02: Proceedings of the 28th International Conference on Very Large …, 2002	163	2002
MISO: souping up big data query processing with a multistore system J LeFevre, J Sankaranarayanan, H Hacigumus, J Tatemura, N Polyzotis, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	153	2014
Data management challenges in production machine learning N Polyzotis, S Roy, SE Whang, M Zinkevich Proceedings of the 2017 ACM International Conference on Management of Data …, 2017	147	2017
Data Validation for Machine Learning. E Breck, N Polyzotis, S Roy, S Whang, M Zinkevich MLSys, 2019	138	2019
Deco: declarative crowdsourcing AG Parameswaran, H Park, H Garcia-Molina, N Polyzotis, J Widom Proceedings of the 21st ACM international conference on Information and …, 2012	137	2012
Colt: continuous on-line tuning K Schnaitter, S Abiteboul, T Milo, N Polyzotis Proceedings of the 2006 ACM SIGMOD international conference on Management of …, 2006	137	2006
Answering queries using humans, algorithms and databases A Parameswaran, N Polyzotis Stanford InfoLab, 2011	128	2011
Supporting streaming updates in an active data warehouse N Polyzotis, S Skiadopoulos, P Vassiliadis, A Simitsis, NE Frantzell 2007 IEEE 23rd International Conference on Data Engineering, 476-485, 2007	128	2007
Map-reduce extensions and recursive queries FN Afrati, V Borkar, M Carey, N Polyzotis, JD Ullman Proceedings of the 14th international conference on extending database …, 2011	125	2011
Max algorithms in crowdsourcing environments P Venetis, H Garcia-Molina, K Huang, N Polyzotis Proceedings of the 21st international conference on World Wide Web, 989-998, 2012	120	2012

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