Statistical synopses for graph-structured XML databases. - Neoklis Polyzotis; Minos N. Garofalakis (SIGMOD Conference, 2002)

Structure and Value Synopses for XML Data Graphs. - Neoklis Polyzotis; Minos N. Garofalakis (VLDB, 2002)

Speculative Query Processing. - Neoklis Polyzotis; Yannis E. Ioannidis (CIDR, 2003)

Selectivity Estimation for XML Twigs. - Neoklis Polyzotis; Minos N. Garofalakis; Yannis E. Ioannidis (ICDE, 2004)

Approximate XML Query Answers. - Neoklis Polyzotis; Minos N. Garofalakis; Yannis E. Ioannidis (SIGMOD Conference, 2004)

Fractional XSketch Synopses for XML Databases. - Natasha Drukh; Neoklis Polyzotis; Minos N. Garofalakis; Yossi Matias (XSym, 2004)

Selectivity-based partitioning: a divide-and-union paradigm for effective query optimization. - Neoklis Polyzotis (CIKM, 2005)

Searching a file system using inferred semantic links. - Deepavali Bhagwat; Neoklis Polyzotis (Hypertext, 2005)

Data Ring: Let Us Turn the Net into a Database! - Serge Abiteboul; Neoklis Polyzotis (ADBIS, 2006)

XCluster Synopses for Structured XML Content. - Neoklis Polyzotis; Minos N. Garofalakis (ICDE, 2006)

COLT: continuous on-line tuning. - Karl Schnaitter; Serge Abiteboul; Tova Milo; Neoklis Polyzotis (SIGMOD Conference, 2006)

Graph-based synopses for relational selectivity estimation. - Joshua Spiegel; Neoklis Polyzotis (SIGMOD Conference, 2006)

AQAX: A System for Approximate XML Query Answers. - Joshua Spiegel; Emmanuel D. Pontikakis; Suratna Budalakoti; Neoklis Polyzotis (VLDB, 2006)

XSKETCH synopses for XML data graphs. - Neoklis Polyzotis; Minos N. Garofalakis (ACM Trans. Database Syst., 2006)

The Data Ring: Community Content Sharing. - Serge Abiteboul; Neoklis Polyzotis (CIDR, 2007)

Supporting Streaming Updates in an Active Data Warehouse. - Neoklis Polyzotis; Spiros Skiadopoulos; Panos Vassiliadis; Alkis Simitsis; Nils-Erik Frantzell (ICDE, 2007)

On-Line Index Selection for Shifting Workloads. - Karl Schnaitter; Serge Abiteboul; Tova Milo; Neoklis Polyzotis (ICDE Workshops, 2007)

XML processing in DHT networks. - Serge Abiteboul; Ioana Manolescu; Neoklis Polyzotis; Nicoleta Preda; Chong Sun (ICDE, 2008)

Evaluating rank joins with optimal cost. - Karl Schnaitter; Neoklis Polyzotis (PODS, 2008)

Report on the 9th International Workshop on Web Information and Data Management (WIDM 2007). - Irini Fundulaki; Neoklis Polyzotis (SIGIR Forum, 2008)

The repeatability experiment of SIGMOD 2008. - Ioana Manolescu; Loredana Afanasiev; Andrei Arion; Jens Dittrich; Stefan Manegold; Neoklis Polyzotis; Karl Schnaitter; Pierre Senellart; Spyros Zoupanos; Dennis E. Shasha (SIGMOD Rec., 2008)

Meshing Streaming Updates with Persistent Data in an Active Data Warehouse. - Neoklis Polyzotis; Spiros Skiadopoulos; Panos Vassiliadis; Alkis Simitsis; Nils-Erik Frantzell (IEEE Trans. Knowl. Data Eng., 2008)

Very Large Databases. - Minos N. Garofalakis; Neoklis Polyzotis (Wiley Encyclopedia of Computer Science and Engineering, 2008)

MatchUp: Autocompletion for Mashups. - Serge Abiteboul; Ohad Greenshpan; Tova Milo; Neoklis Polyzotis (ICDE, 2009)

Sketch-Based Summarization of Ordered XML Streams. - Veronica Mayorga; Neoklis Polyzotis (ICDE, 2009)

A Benchmark for Online Index Selection. - Karl Schnaitter; Neoklis Polyzotis (ICDE, 2009)

Robust and efficient algorithms for rank join evaluation. - Jonathan Finger; Neoklis Polyzotis (SIGMOD Conference, 2009)

Query Recommendations for Interactive Database Exploration. - Gloria Chatzopoulou; Magdalini Eirinaki; Neoklis Polyzotis (SSDBM, 2009)

Searching Shared Content in Communities with the Data Ring. - Serge Abiteboul; Neoklis Polyzotis (IEEE Data Eng. Bull., 2009)

A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses. - George Candea; Neoklis Polyzotis; Radek Vingralek (Proc. VLDB Endow., 2009)

Autocompletion for Mashups. - Ohad Greenshpan; Tova Milo; Neoklis Polyzotis (Proc. VLDB Endow., 2009)

Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications. - Karl Schnaitter; Neoklis Polyzotis; Lise Getoor (Proc. VLDB Endow., 2009)

Report on the 10th international workshop on web information and data management (WIDM). - Chee-Yong Chan; Neoklis Polyzotis (SIGIR Forum, 2009)

TuG synopses for approximate query answering. - Joshua Spiegel; Neoklis Polyzotis (ACM Trans. Database Syst., 2009)

Depth estimation for ranking query optimization. - Karl Schnaitter; Joshua Spiegel; Neoklis Polyzotis (VLDB J., 2009)

XML Selectivity Estimation. - Maya Ramanath; Juliana Freire; Neoklis Polyzotis (Encyclopedia of Database Systems, 2009)

Cluster Computing, Recursion and Datalog. - Foto N. Afrati; Vinayak R. Borkar; Michael J. Carey 001; Neoklis Polyzotis; Jeffrey D. Ullman (Datalog, 2010)

QueRIE: A Query Recommender System Supporting Interactive Database Exploration. - Sarika Mittal; Jothi Swarubini Vindhiya Varman; Gloria Chatzopoulou; Magdalini Eirinaki; Neoklis Polyzotis (ICDM Workshops, 2010)

Trends in Rank Join. - Ihab F. Ilyas; Davide Martinenghi; Neoklis Polyzotis; Marco Tagliasacchi (SeCO Workshop, 2010)

The Rank Join Problem. - Neoklis Polyzotis (SeCO Workshop, 2010)

An automated, yet interactive and portable DB designer. - Ioannis Alagiannis; Debabrata Dash; Karl Schnaitter; Anastasia Ailamaki; Neoklis Polyzotis (SIGMOD Conference, 2010)

SQL QueRIE Recommendations. - Javad Akbarnejad; Gloria Chatzopoulou; Magdalini Eirinaki; Suju Koshy; Sarika Mittal; Duc On; Neoklis Polyzotis; Jothi Swarubini Vindhiya Varman (Proc. VLDB Endow., 2010)

Optimal Top-K Query Evaluation for Weighted Business Processes. - Daniel Deutch; Tova Milo; Neoklis Polyzotis; Tom Yam (Proc. VLDB Endow., 2010)

Optimal algorithms for evaluating rank joins in database systems. - Karl Schnaitter; Neoklis Polyzotis (ACM Trans. Database Syst., 2010)

Private Database Synthesis for Outsourced System Evaluation. - Vani Gupta; Gerome Miklau; Neoklis Polyzotis (AMW, 2011)

Answering Queries using Humans, Algorithms and Databases. - Aditya G. Parameswaran; Neoklis Polyzotis (CIDR, 2011)

Map-reduce extensions and recursive queries. - Foto N. Afrati; Vinayak R. Borkar; Michael J. Carey 001; Neoklis Polyzotis; Jeffrey D. Ullman (EDBT, 2011)

Social networking on top of the WebdamExchange system. - Émilien Antoine; Alban Galland; Kristian Lyngbaek; Amélie Marian; Neoklis Polyzotis (ICDE, 2011)

SciHadoop: array-based query processing in Hadoop. - Joe B. Buck; Noah Watkins; Jeff LeFevre; Kleoni Ioannidou; Carlos Maltzahn; Neoklis Polyzotis; Scott A. Brandt (SC, 2011)

Skyline query processing over joins. - Akrivi Vlachou; Christos Doulkeridis; Neoklis Polyzotis (SIGMOD Conference, 2011)

Web information management with access control. - Serge Abiteboul; Alban Galland; Neoklis Polyzotis (WebDB, 2011)

The QueRIE system for Personalized Query Recommendations. - Gloria Chatzopoulou; Magdalini Eirinaki; Suju Koshy; Sarika Mittal; Neoklis Polyzotis; Jothi Swarubini Vindhiya Varman (IEEE Data Eng. Bull., 2011)

Benchmarking Online Index-Tuning Algorithms. - Ivo Jimenez; Jeff LeFevre; Neoklis Polyzotis; Huascar Sanchez; Karl Schnaitter (IEEE Data Eng. Bull., 2011)

CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads. - Debabrata Dash; Neoklis Polyzotis; Anastasia Ailamaki (Proc. VLDB Endow., 2011)

Human-assisted graph search: it's okay to ask questions. - Aditya G. Parameswaran; Anish Das Sarma; Hector Garcia-Molina; Neoklis Polyzotis; Jennifer Widom (Proc. VLDB Endow., 2011)

Predictable performance and high query concurrency for data analytics. - George Candea; Neoklis Polyzotis; Radek Vingralek (VLDB J., 2011)

Deco: declarative crowdsourcing. - Aditya G. Parameswaran; Hyunjung Park 001; Hector Garcia-Molina; Neoklis Polyzotis; Jennifer Widom (CIKM, 2012)

Asking the Right Questions in Crowd Data Sourcing. - Rubi Boim; Ohad Greenshpan; Tova Milo; Slava Novgorodov; Neoklis Polyzotis; Wang Chiew Tan (ICDE, 2012)

Processing of Rank Joins in Highly Distributed Systems. - Christos Doulkeridis; Akrivi Vlachou; Kjetil Nørvåg; Yannis Kotidis; Neoklis Polyzotis (ICDE, 2012)

Divergent physical design tuning for replicated databases. - Mariano P. Consens; Kleoni Ioannidou; Jeff LeFevre; Neoklis Polyzotis (SIGMOD Conference, 2012)

Kaizen: a semi-automatic index advisor. - Ivo Jimenez; Huascar Sanchez; Quoc Trung Tran; Neoklis Polyzotis (SIGMOD Conference, 2012)

CrowdScreen: algorithms for filtering data with humans. - Aditya G. Parameswaran; Hector Garcia-Molina; Hyunjung Park 001; Neoklis Polyzotis; Aditya Ramesh; Jennifer Widom (SIGMOD Conference, 2012)

Max algorithms in crowdsourcing environments. - Petros Venetis; Hector Garcia-Molina; Kerui Huang; Neoklis Polyzotis (WWW, 2012)

Scaling Datalog for Machine Learning on Big Data - Yingyi Bu; Vinayak R. Borkar; Michael J. Carey 001; Joshua Rosen; Neoklis Polyzotis; Tyson Condie; Markus Weimer; Raghu Ramakrishnan 001 (CoRR, 2012)

Declarative Systems for Large-Scale Machine Learning. - Vinayak R. Borkar; Yingyi Bu; Michael J. Carey 001; Joshua Rosen; Neoklis Polyzotis; Tyson Condie; Markus Weimer; Raghu Ramakrishnan 001 (IEEE Data Eng. Bull., 2012)

Deco: A System for Declarative Crowdsourcing. - Hyunjung Park 001; Richard Pang; Aditya G. Parameswaran; Hector Garcia-Molina; Neoklis Polyzotis; Jennifer Widom (Proc. VLDB Endow., 2012)

Semi-Automatic Index Tuning: Keeping DBAs in the Loop. - Karl Schnaitter; Neoklis Polyzotis (Proc. VLDB Endow., 2012)

An overview of the deco system: data model and query language; query processing and optimization. - Hyunjung Park 001; Richard Pang; Aditya G. Parameswaran; Hector Garcia-Molina; Neoklis Polyzotis; Jennifer Widom (SIGMOD Rec., 2012)

Machine learning on Big Data. - Tyson Condie; Paul Mineiro; Neoklis Polyzotis; Markus Weimer (ICDE, 2013)

INUM+: A leaner, more accurate and more efficient fast what-if optimizer. - Rui Wang; Quoc Trung Tran; Ivo Jimenez; Neoklis Polyzotis (ICDE Workshops, 2013)

SIDR: structure-aware intelligent data routing in Hadoop. - Joe B. Buck; Noah Watkins; Greg Levin; Adam Crume; Kleoni Ioannidou; Scott A. Brandt; Carlos Maltzahn; Neoklis Polyzotis; Aaron Torres (SC, 2013)

Towards a workload for evolutionary analytics. - Jeff LeFevre; Jagan Sankaranarayanan; Hakan Hacigümüs; Jun'ichi Tatemura; Neoklis Polyzotis (DanaC@SIGMOD, 2013)

Human-Powered Top-k Lists. - Vassilis Polychronopoulos; Luca de Alfaro; James Davis 001; Hector Garcia-Molina; Neoklis Polyzotis (WebDB, 2013)

Iterative MapReduce for Large Scale Machine Learning - Joshua Rosen; Neoklis Polyzotis; Vinayak R. Borkar; Yingyi Bu; Michael J. Carey 001; Markus Weimer; Tyson Condie; Raghu Ramakrishnan 001 (CoRR, 2013)

Exploiting Opportunistic Physical Design in Large-scale Data Analytics - Jeff LeFevre; Jagan Sankaranarayanan; Hakan Hacigümüs; Jun'ichi Tatemura; Neoklis Polyzotis (CoRR, 2013)

Odyssey: A Multi-Store System for Evolutionary Analytics. - Hakan Hacigümüs; Jagan Sankaranarayanan; Jun'ichi Tatemura; Jeff LeFevre; Neoklis Polyzotis (Proc. VLDB Endow., 2013)

Top-k queries over web applications. - Daniel Deutch; Tova Milo; Neoklis Polyzotis (VLDB J., 2013)

Opportunistic physical design for big data analytics. - Jeff LeFevre; Jagan Sankaranarayanan; Hakan Hacigümüs; Jun'ichi Tatemura; Neoklis Polyzotis; Michael J. Carey 001 (SIGMOD Conference, 2014)

MISO: souping up big data query processing with a multistore system. - Jeff LeFevre; Jagan Sankaranarayanan; Hakan Hacigümüs; Jun'ichi Tatemura; Neoklis Polyzotis; Michael J. Carey 001 (SIGMOD Conference, 2014)

Optimal Crowd-Powered Rating and Filtering Algorithms. - Aditya G. Parameswaran; Stephen P. Boyd; Hector Garcia-Molina; Ashish Gupta 002; Neoklis Polyzotis; Jennifer Widom (Proc. VLDB Endow., 2014)

SEEDB: Automatically Generating Query Visualizations. - Manasi Vartak; Samuel Madden 001; Aditya G. Parameswaran; Neoklis Polyzotis (Proc. VLDB Endow., 2014)

QueRIE: Collaborative Database Exploration. - Magdalini Eirinaki; Suju Abraham; Neoklis Polyzotis; Naushin Shaikh (IEEE Trans. Knowl. Data Eng., 2014)

Oracle Workload Intelligence. - Quoc Trung Tran; Konstantinos Morfonios; Neoklis Polyzotis (SIGMOD Conference, 2015)

RITA: an index-tuning advisor for replicated databases. - Quoc Trung Tran; Ivo Jimenez; Rui Wang; Neoklis Polyzotis; Anastasia Ailamaki (SSDBM, 2015)

SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. - Manasi Vartak; Sajjadur Rahman; Samuel Madden 001; Aditya G. Parameswaran; Neoklis Polyzotis (Proc. VLDB Endow., 2015)

Goods: Organizing Google's Datasets. - Alon Y. Halevy; Flip Korn; Natalya Fridman Noy; Christopher Olston; Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang (SIGMOD Conference, 2016)

Managing Google's data lake: an overview of the Goods system. - Alon Y. Halevy; Flip Korn; Natalya Fridman Noy; Christopher Olston; Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang (IEEE Data Eng. Bull., 2016)

Efficient Techniques for Crowdsourced Top-k Lists. - Luca de Alfaro; Vassilis Polychronopoulos; Neoklis Polyzotis (IJCAI, 2017)

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. - Denis Baylor; Eric Breck; Heng-Tze Cheng; Noah Fiedel; Chuan Yu Foo; Zakaria Haque; Salem Haykal; Mustafa Ispir; Vihan Jain; Levent Koc 001; Chiu Yuen Koo; Lukasz Lew; et al. (KDD, 2017)

Data Management Challenges in Production Machine Learning. - Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang; Martin Zinkevich (SIGMOD Conference, 2017)

The Case for Learned Index Structures. - Tim Kraska; Alex Beutel; Ed H. Chi; Jeffrey Dean; Neoklis Polyzotis (SIGMOD Conference, 2018)

Slice Finder: Automated Data Slicing for Model Validation. - Yeounoh Chung; Tim Kraska; Neoklis Polyzotis; Steven Euijong Whang (CoRR, 2018)

Data Lifecycle Challenges in Production Machine Learning: A Survey. - Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang; Martin Zinkevich (SIGMOD Rec., 2018)

XML Selectivity Estimation. - Maya Ramanath; Juliana Freire; Neoklis Polyzotis (Encyclopedia of Database Systems (2nd ed.), 2018)

Slice Finder: Automated Data Slicing for Model Validation. - Yeounoh Chung; Tim Kraska; Neoklis Polyzotis; Ki Hyun Tae; Steven Euijong Whang (ICDE, 2019)

Data Validation for Machine Learning. - Eric Breck; Neoklis Polyzotis; Sudip Roy 002; Steven Whang 001; Martin Zinkevich (SysML, 2019)

Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform. - Denis Baylor; Kevin Haas; Konstantinos Katsiapis; Sammy Leong; Rose Liu; Clemens Mewald; Hui Miao; Neoklis Polyzotis; Mitchell Trott; Martin Zinkevich (OpML, 2019)

DEEM 2019: Workshop on Data Management for End-to-End Machine Learning. - Sebastian Schelter; Neoklis Polyzotis; Manasi Vartak; Stephan Seufert (SIGMOD Conference, 2019)

Improving Differentially Private Models with Active Learning. - Zhengli Zhao; Nicolas Papernot; Sameer Singh 001; Neoklis Polyzotis; Augustus Odena (CoRR, 2019)

Opportunities for Data Management Research in the Era of Horizontal AI/ML. - Theodoros Rekatsinas; Sudeepa Roy 001; Manasi Vartak; Ce Zhang 001; Neoklis Polyzotis (Proc. VLDB Endow., 2019)

TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines. - Emily Caveness; Paul Suganthan G. C.; Zhuo Peng; Neoklis Polyzotis; Sudip Roy 002; Martin Zinkevich (SIGMOD Conference, 2020)

From Data to Models and Back. - Mike Dreves; Gene Huang; Zhuo Peng; Neoklis Polyzotis; Evan Rosen; Paul Suganthan G. C. (DEEM@SIGMOD, 2020)

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX). - Konstantinos Katsiapis; Abhijit Karmarkar; Ahmet Altay; Aleksandr Zaks; Neoklis Polyzotis; Anusha Ramesh; Ben Mathes; Gautam Vasudevan; Irene Giannoumis; Jarek Wilkiewicz; Jiri Simsa; Justin Hong; et al. (CoRR, 2020)

Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach. - Yeounoh Chung; Tim Kraska; Neoklis Polyzotis; Ki Hyun Tae; Steven Euijong Whang (IEEE Trans. Knowl. Data Eng., 2020)

Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. - Doris Xin; Hui Miao; Aditya G. Parameswaran; Neoklis Polyzotis (SIGMOD Conference, 2021)

What can Data-Centric AI Learn from Data and ML Engineering? - Neoklis Polyzotis; Matei Zaharia (CoRR, 2021)

Validating Data and Models in Continuous ML Pipelines. - Mike Dreves; Gene Huang; Zhuo Peng; Neoklis Polyzotis; Evan Rosen; Paul Suganthan G. C. (IEEE Data Eng. Bull., 2021)