Neoklis Polyzotis

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Aditya ParameswaranAssociate Professor, UC BerkeleyEmail yang diverifikasi di berkeley.edu
Steven Euijong WhangAssociate Professor with Tenure at KAIST EE and AIEmail yang diverifikasi di kaist.ac.kr
sudip royCohereEmail yang diverifikasi di cs.cornell.edu
hector garcia-molinaProfessor of Computer Science, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Minos GarofalakisDirector, IMSI, Athena RC; Professor, ECE, TU Crete; Senior Research Consultant, Huawei ISR/ERC.Email yang diverifikasi di athenarc.gr
Tim KraskaMITEmail yang diverifikasi di mit.edu
Serge AbiteboulINRIA SaclayEmail yang diverifikasi di inria.fr
Tova MiloProfessor of Computer Science, Tel Aviv UniversityEmail yang diverifikasi di cs.tau.ac.il
Michael J. CareyBren Professor of Information and Computer Sciences, University of California, IrvineEmail yang diverifikasi di ics.uci.edu
Jennifer WidomProfessor of Computer Science, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Jeff LeFevreAdjunct Professor of Computer Science and Engineering, University of California, Santa CruzEmail yang diverifikasi di soe.ucsc.edu
Manasi VartakMITEmail yang diverifikasi di csail.mit.edu
Alex BeutelOpenAIEmail yang diverifikasi di openai.com
Jeff DeanGoogle Chief Scientist, Google Research and Google DeepMindEmail yang diverifikasi di google.com
Ed H. ChiGoogle DeepMind / Google BrainEmail yang diverifikasi di acm.org
Jagan SankaranarayananGoogle IncEmail yang diverifikasi di umiacs.umd.edu
Magdalini EirinakiProfessor of Computer Engineering, San Jose State UniversityEmail yang diverifikasi di sjsu.edu
Samuel MaddenMITEmail yang diverifikasi di csail.mit.edu
Hyunjung ParkGoogleEmail yang diverifikasi di cs.stanford.edu
Hakan HacigumusGoogleEmail yang diverifikasi di hacigumus.org

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Neoklis Polyzotis

Databricks

Email yang diverifikasi di databricks.com - Beranda

Databases Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1254	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	498	2017
Data validation for machine learning N Polyzotis, M Zinkevich, S Roy, E Breck, S Whang Proceedings of machine learning and systems 1, 334-347, 2019	430	2019
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	310	2015
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	291	2012
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	265	2017
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	260	2016
Data lifecycle challenges in production machine learning: a survey N Polyzotis, S Roy, SE Whang, M Zinkevich ACM SIGMOD Record 47 (2), 17-28, 2018	248	2018
Scihadoop: Array-based query processing in hadoop JB Buck, N Watkins, J LeFevre, K Ioannidou, C Maltzahn, N Polyzotis, ... Proceedings of 2011 International Conference for High Performance Computing …, 2011	211	2011
Statistical synopses for graph-structured XML databases N Polyzotis, M Garofalakis Proceedings of the 2002 ACM SIGMOD international conference on management of …, 2002	205	2002
Query recommendations for interactive database exploration G Chatzopoulou, M Eirinaki, N Polyzotis Scientific and Statistical Database Management: 21st International …, 2009	201	2009
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	189	2011
Approximate XML query answers N Polyzotis, M Garofalakis, Y Ioannidis Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004	186	2004
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	170	2014
Structure and value synopses for XML data graphs N Polyzotis, M Garofalakis VLDB'02: Proceedings of the 28th International Conference on Very Large …, 2002	167	2002
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	161	2006
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	148	2012
Answering queries using humans, algorithms and databases A Parameswaran, N Polyzotis Stanford InfoLab, 2011	140	2011
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	134	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, 2006	134	2006

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