Design and Implementation of a Distributed Workflow Enactment Service. - Esin Gokkoca; Mehmet Altinel; Ibrahim Cingil; Nesime Tatbul; Pinar Koksal; Asuman Dogac (CoopIS, 1997)

METU-Emar: An Agent-Based Electronic Marketplace on the Web. - Asuman Dogac; Ilker Durusoy; Sena Nural Arpinar; Esin Gokkoca; Nesime Tatbul; Pinar Koksal (ECDL, 1998)

Task Handling in Workflow Management Systems. - Pinar Karagoz; Sena Nural Arpinar; Pinar Koksal; Nesime Tatbul; Esin Gokkoca; Asuman Dogac (IADT, 1998)

A Workflow-based Electronic Marketplace on the Web. - Asuman Dogac; Ilker Durusoy; Sena Nural Arpinar; Nesime Tatbul; Pinar Koksal; Ibrahim Cingil; Nazife Dimililer (SIGMOD Rec., 1998)

An Adaptable Workflow System Architecture on the Internet for Electronic Commerce Applications. - Ibrahim Cingil; Asuman Dogac; Nesime Tatbul; Sena Nural Arpinar (DOA, 1999)

A Workflow System through Cooperating Agents for Control and Document Flow over the Internet. - Asuman Dogac; Yusuf Tambag; Arif Tumer; M. Ezbiderli; Nesime Tatbul; N. Hamali; C. Icdem; Catriel Beeri (CoopIS, 2000)

The MARIFlow Workflow Management System. - Asuman Dogac; M. Ezbiderli; Yusuf Tambag; C. Icdem; Arif Tumer; Nesime Tatbul; N. Hamali; Catriel Beeri (ICDE, 2000)

An open electronic marketplace through agent-based workflows: MOPPET. - Sena Nural Arpinar; Asuman Dogac; Nesime Tatbul (Int. J. Digit. Libr., 2000)

OoS-Driven Load Shedding on Data Streams. - Nesime Tatbul (EDBT PhD Workshop, 2002)

QoS-Driven Load Shedding on Data Streams. - Nesime Tatbul (EDBT Workshops, 2002)

Monitoring Streams - A New Class of Data Management Applications. - Donald Carney; Ugur Çetintemel; Mitch Cherniack; Christian Convey; Sangdon Lee; Greg Seidman; Michael Stonebraker; Nesime Tatbul; Stanley B. Zdonik (VLDB, 2002)

Aurora: A Data Stream Management System. - Daniel J. Abadi; Donald Carney; Ugur Çetintemel; Mitch Cherniack; Christian Convey; C. Erwin; Eduardo F. Galvez; M. Hatoun; Anurag Maskey; Alex Rasin; A. Singer; Michael Stonebraker; et al. (SIGMOD Conference, 2003)

Load Shedding in a Data Stream Manager. - Nesime Tatbul; Ugur Çetintemel; Stanley B. Zdonik; Mitch Cherniack; Michael Stonebraker (VLDB, 2003)

Aurora: a new model and architecture for data stream management. - Daniel J. Abadi; Donald Carney; Ugur Çetintemel; Mitch Cherniack; Christian Convey; Sangdon Lee; Michael Stonebraker; Nesime Tatbul; Stanley B. Zdonik (VLDB J., 2003)

Confidence-based data management for personal area sensor networks. - Nesime Tatbul; Mark J. Buller; Reed W. Hoyt; Steve Mullen; Stanley B. Zdonik (DMSN, 2004)

Retrospective on Aurora. - Hari Balakrishnan; Magdalena Balazinska; Donald Carney; Ugur Çetintemel; Mitch Cherniack; Christian Convey; Eduardo F. Galvez; Jon Salz; Michael Stonebraker; Nesime Tatbul; Richard Tibbetts; Stanley B. Zdonik (VLDB J., 2004)

The Design of the Borealis Stream Processing Engine. - Daniel J. Abadi; Yanif Ahmad; Magdalena Balazinska; Ugur Çetintemel; Mitch Cherniack; Jeong-Hyon Hwang; Wolfgang Lindner 001; Anurag Maskey; Alex Rasin; Esther Ryvkina; Nesime Tatbul; Ying Xing; et al. (CIDR, 2005)

Distributed operation in the Borealis stream processing engine. - Yanif Ahmad; Bradley Berg; Ugur Çetintemel; Mark Humphrey; Jeong-Hyon Hwang; Anjali Jhingran; Anurag Maskey; Olga Papaemmanouil; Alex Rasin; Nesime Tatbul; Wenjuan Xing; Ying Xing; et al. (SIGMOD Conference, 2005)

Load Management and High Availability in the Borealis Distributed Stream Processing Engine. - Nesime Tatbul; Yanif Ahmad; Ugur Çetintemel; Jeong-Hyon Hwang; Ying Xing; Stanley B. Zdonik (GSN, 2006)

Dealing with Overload in Distributed Stream Processing Systems. - Nesime Tatbul; Stanley B. Zdonik (ICDE Workshops, 2006)

Window-Aware Load Shedding for Aggregation Queries over Data Streams. - Nesime Tatbul; Stanley B. Zdonik (VLDB, 2006)

Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing. - Nesime Tatbul; Ugur Çetintemel; Stanley B. Zdonik (VLDB, 2007)

Load Shedding Techniques for Data Stream Management Systems. - Nesime Tatbul (2007)

Plan-based complex event detection across distributed sources. - Mert Akdere; Ugur Çetintemel; Nesime Tatbul (Proc. VLDB Endow., 2008)

The ETH Zurich systems group and enterprise computing center. - Gustavo Alonso; Donald Kossmann; Timothy Roscoe; Nesime Tatbul; Andrew Baumann; Carsten Binnig; Peter M. Fischer 001; Oriana Riva; Jens Teubner (SIGMOD Rec., 2008)

Federated Stream Processing Support for Real-Time Business Intelligence Applications. - Irina Botan; Younggoo Cho; Roozbeh Derakhshan; Nihal Dindar; Laura M. Haas; Kihong Kim; Nesime Tatbul (BIRTE, 2009)

Flexible and scalable storage management for data-intensive stream processing. - Irina Botan; Gustavo Alonso; Peter M. Fischer 001; Donald Kossmann; Nesime Tatbul (EDBT, 2009)

DejaVu: declarative pattern matching over live and archived streams of events. - Nihal Dindar; Baris Güç; Patrick Lau; Asli Özal; Merve Soner; Nesime Tatbul (SIGMOD Conference, 2009)

Event Processing Support for Cross-Reality Environments. - Nihal Dindar; Cagri Balkesen; Katina Kromwijk; Nesime Tatbul (IEEE Pervasive Comput., 2009)

Load Shedding. - Nesime Tatbul (Encyclopedia of Database Systems, 2009)

A demonstration of the MaxStream federated stream processing system. - Irina Botan; Younggoo Cho; Roozbeh Derakhshan; Nihal Dindar; Ankush Gupta; Laura M. Haas; Kihong Kim; Chulwon Lee; Girish Mundada; Ming-Chien Shan; Nesime Tatbul; Ying Yan; et al. (ICDE, 2010)

Streaming data integration: Challenges and opportunities. - Nesime Tatbul (ICDE Workshops, 2010)

SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems. - Irina Botan; Roozbeh Derakhshan; Nihal Dindar; Laura M. Haas; Renée J. Miller; Nesime Tatbul (Proc. VLDB Endow., 2010)

The Case for Fine-Grained Stream Provenance. - Boris Glavic; Kyumars Sheykh Esmaili; Peter M. Fischer 001; Nesime Tatbul (BTW Workshops, 2011)

Efficiently correlating complex events over live and archived data streams. - Nihal Dindar; Peter M. Fischer 001; Merve Soner; Nesime Tatbul (DEBS, 2011)

DejaVu: a complex event processing system for pattern matching over live and historical data streams. - Nihal Dindar; Peter M. Fischer 001; Nesime Tatbul (DEBS, 2011)

Large-Scale DNA Sequence Analysis in the Cloud: A Stream-Based Approach. - Romeo Kienzler; Rémy Bruggmann; Anand Ranganathan; Nesime Tatbul (Euro-Par Workshops (2), 2011)

Real-time route planning with stream processing systems: a case study for the city of Lucerne. - Asli Özal; Anand Ranganathan; Nesime Tatbul (GIS-IWGS, 2011)

Virtualizing Stream Processing. - Michael Duller; Jan S. Rellermeyer; Gustavo Alonso; Nesime Tatbul (Middleware, 2011)

Changing flights in mid-air: a model for safely modifying continuous queries. - Kyumars Sheykh Esmaili; Tahmineh Sanamrad; Peter M. Fischer 001; Nesime Tatbul (SIGMOD Conference, 2011)

Query processing in sensor networks. - Erik Buchmann; Nesime Tatbul; Mario A. Nascimento (Distributed Parallel Databases, 2011)

UpStream: A Storage-centric Load Management System for Real-time Update Streams. - Alexandru Moga; Nesime Tatbul (Proc. VLDB Endow., 2011)

UpStream: storage-centric load management for streaming applications with update semantics. - Alexandru Moga; Irina Botan; Nesime Tatbul (VLDB J., 2011)

Transactional stream processing. - Irina Botan; Peter M. Fischer 001; Donald Kossmann; Nesime Tatbul (EDBT, 2012)

Stream as You Go: The Case for Incremental Data Access and Processing in the Cloud. - Romeo Kienzler; Rémy Bruggmann; Anand Ranganathan; Nesime Tatbul (ICDE Workshops, 2012)

Incremental DNA Sequence Analysis in the Cloud. - Romeo Kienzler; Rémy Bruggmann; Anand Ranganathan; Nesime Tatbul (SSDBM, 2012)

Letter from the Associate Editors. - Ahmet Sacan; Nesime Tatbul (Proc. VLDB Endow., 2012)

RIP: run-based intra-query parallelism for scalable complex event processing. - Cagri Balkesen; Nihal Dindar; Matthias Wetter; Nesime Tatbul (DEBS, 2013)

Adaptive input admission and management for parallel stream processing. - Cagri Balkesen; Nesime Tatbul; M. Tamer Özsu (DEBS, 2013)

Ariadne: managing fine-grained provenance on data streams. - Boris Glavic; Kyumars Sheykh Esmaili; Peter Michael Fischer; Nesime Tatbul (DEBS, 2013)

Modeling the execution semantics of stream processing engines with SECRET. - Nihal Dindar; Nesime Tatbul; Renée J. Miller; Laura M. Haas; Irina Botan (VLDB J., 2013)

Are we experiencing a big data bubble? - Fatma Özcan; Nesime Tatbul; Daniel J. Abadi; Marcel Kornacker; C. Mohan 001; Karthik Ramasamy; Janet L. Wiener (SIGMOD Conference, 2014)

S-Store: A Streaming NewSQL System for Big Velocity Applications. - Ugur Çetintemel; Jiang Du 001; Tim Kraska; Samuel Madden 001; David Maier 001; John Meehan; Andrew Pavlo; Michael Stonebraker; Erik Sutherland; Nesime Tatbul; Kristin Tufte; Hao Wang; et al. (Proc. VLDB Endow., 2014)

Efficient Stream Provenance via Operator Instrumentation. - Boris Glavic; Kyumars Sheykh Esmaili; Peter M. Fischer 001; Nesime Tatbul (ACM Trans. Internet Techn., 2014)

Handling Shared, Mutable State in Stream Processing with Correctness Guarantees. - Nesime Tatbul; Stan Zdonik; John Meehan; Cansu Aslantas; Michael Stonebraker; Kristin Tufte; Chris Giossi; Hong Quach (IEEE Data Eng. Bull., 2015)

A Demonstration of the BigDAWG Polystore System. - Aaron J. Elmore; Jennie Duggan; Mike Stonebraker; Magdalena Balazinska; Ugur Çetintemel; Vijay Gadepally; Jeffrey Heer; Bill Howe; Jeremy Kepner; Tim Kraska; Samuel Madden 001; David Maier 001; et al. (Proc. VLDB Endow., 2015)

S-Store: Streaming Meets Transaction Processing. - John Meehan; Nesime Tatbul; Stan Zdonik; Cansu Aslantas; Ugur Çetintemel; Jiang Du 001; Tim Kraska; Samuel Madden 001; David Maier 001; Andrew Pavlo; Michael Stonebraker; Kristin Tufte; et al. (Proc. VLDB Endow., 2015)

Report on the 8th International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE'14). - Malú Castellanos; Umeshwar Dayal; Nesime Tatbul; Damianos Chatziantoniou; Qiming Chen (SIGMOD Rec., 2015)

The Aurora and Borealis Stream Processing Engines. - Ugur Çetintemel; Daniel J. Abadi; Yanif Ahmad; Hari Balakrishnan; Magdalena Balazinska; Mitch Cherniack; Jeong-Hyon Hwang; Samuel Madden 001; Anurag Maskey; Alexander Rasin; Esther Ryvkina; Mike Stonebraker; et al. (Data Stream Management, 2016)

Integrating real-time and batch processing in a polystore. - John Meehan; Stan Zdonik; Shaobo Tian; Yulong Tian; Nesime Tatbul; Adam Dziedzic; Aaron J. Elmore (HPEC, 2016)

Towards Dynamic Data Placement for Polystore Ingestion. - Jiang Du 001; John Meehan; Nesime Tatbul; Stan Zdonik (BIRTE (Revised Selected Papers), 2017)

Data Ingestion for the Connected World. - John Meehan; Cansu Aslantas; Stan Zdonik; Nesime Tatbul; Jiang Du 001 (CIDR, 2017)

New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote). - Nesime Tatbul (DEBS, 2018)

Precision and Recall for Time Series. - Nesime Tatbul; Tae Jun Lee; Stan Zdonik; Mejbah Alam; Justin Gottschlich (NeurIPS, 2018)

The three pillars of machine programming. - Justin Gottschlich; Armando Solar-Lezama; Nesime Tatbul; Michael Carbin; Martin C. Rinard; Regina Barzilay; Saman P. Amarasinghe; Joshua B. Tenenbaum; Tim Mattson (MAPL@PLDI, 2018)

Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection. - Tae-Jun Lee; Justin Gottschlich; Nesime Tatbul; Eric Metcalf; Stan Zdonik (CoRR, 2018)

Precision and Recall for Range-Based Anomaly Detection. - Tae Jun Lee; Justin Gottschlich; Nesime Tatbul; Eric Metcalf; Stan Zdonik (CoRR, 2018)

A New Model for Evaluating Range-Based Anomaly Detection Algorithms. - Nesime Tatbul; Tae Jun Lee; Stan Zdonik; Justin Gottschlich (CoRR, 2018)

The Three Pillars of Machine-Based Programming. - Justin Gottschlich; Armando Solar-Lezama; Nesime Tatbul; Michael Carbin; Martin C. Rinard; Regina Barzilay; Saman P. Amarasinghe; Joshua B. Tenenbaum; Tim Mattson (CoRR, 2018)

Load Shedding. - Nesime Tatbul (Encyclopedia of Database Systems (2nd ed.), 2018)

Transactional Stream Processing. - Nesime Tatbul (Encyclopedia of Database Systems (2nd ed.), 2018)

The Aurora/Borealis/streambase codelines: a tale of three systems. - Nesime Tatbul (Making Databases Work, 2019)

Metro-Viz: Black-Box Analysis of Time Series Anomaly Detectors. - Philipp Eichmann; Franco Solleza; Junjay Tan; Nesime Tatbul; Stan Zdonik (CHI Extended Abstracts, 2019)

Tools for Advanced Time Series Analytics: Enabling the Future. - Nesime Tatbul (CIDR, 2019)

Streaming Event Detection in Microblogs: Balancing Accuracy and Performance. - Ozlem Ceren Sahin; Pinar Karagoz; Nesime Tatbul (ICWE, 2019)

A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions. - Mejbah Alam; Justin Gottschlich; Nesime Tatbul; Javier S. Turek; Tim Mattson; Abdullah Muzahid (NeurIPS, 2019)

Visual Exploration of Time Series Anomalies with Metro-Viz. - Philipp Eichmann; Franco Solleza; Nesime Tatbul; Stan Zdonik (SIGMOD Conference, 2019)

LISA: Towards Learned DNA Sequence Search. - Darryl Ho; Jialin Ding 001; Sanchit Misra; Nesime Tatbul; Vikram Nathan; Md. Vasimuddin; Tim Kraska (CoRR, 2019)

Neo: A Learned Query Optimizer. - Ryan Marcus; Parimarjan Negi; Hongzi Mao; Chi Zhang 068; Mohammad Alizadeh; Tim Kraska; Olga Papaemmanouil; Nesime Tatbul (Proc. VLDB Endow., 2019)

Large-scale in-memory analytics on Intel® Optane™ DC persistent memory. - Anil Shanbhag; Nesime Tatbul; David E. Cohen; Samuel Madden 001 (DaMoN, 2020)

Cost-Guided Cardinality Estimation: Focus Where it Matters. - Parimarjan Negi; Ryan Marcus; Hongzi Mao; Nesime Tatbul; Tim Kraska; Mohammad Alizadeh (ICDE Workshops, 2020)

Bao: Learning to Steer Query Optimizers. - Ryan Marcus; Parimarjan Negi; Hongzi Mao; Nesime Tatbul; Mohammad Alizadeh; Tim Kraska (CoRR, 2020)

MISIM: An End-to-End Neural Code Similarity System. - Fangke Ye; Shengtian Zhou; Anand Venkat; Ryan Marcus; Nesime Tatbul; Jesmin Jahan Tithi; Paul Petersen; Timothy G. Mattson; Tim Kraska; Pradeep Dubey; Vivek Sarkar; Justin Gottschlich (CoRR, 2020)

AnomalyBench: An Open Benchmark for Explainable Anomaly Detection. - Vincent Jacob; Fei Song; Arnaud Stiegler; Yanlei Diao; Nesime Tatbul (CoRR, 2020)

Class-Weighted Evaluation Metrics for Imbalanced Data Classification. - Akhilesh Gupta; Nesime Tatbul; Ryan Marcus; Shengtian Zhou; Insup Lee 001; Justin Gottschlich (CoRR, 2020)

Debugging Large-Scale Data Science Pipelines using Dagger. - El Kindi Rezig; Ashrita Brahmaroutu; Nesime Tatbul; Mourad Ouzzani; Nan Tang 001; Timothy G. Mattson; Samuel Madden 001; Michael Stonebraker (Proc. VLDB Endow., 2020)

Towards Observability Data Management at Scale. - Suman Karumuri; Franco Solleza; Stan Zdonik; Nesime Tatbul (SIGMOD Rec., 2020)

Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series. - Suman Karumuri; Franco Solleza; Stan Zdonik; Nesime Tatbul (CIDR, 2021)

Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series. - Vincent Jacob; Fei Song; Arnaud Stiegler; Bijan Rad; Yanlei Diao; Nesime Tatbul (Proc. VLDB Endow., 2021)

A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection. - Vincent Jacob; Fei Song; Arnaud Stiegler; Bijan Rad; Yanlei Diao; Nesime Tatbul (Proc. VLDB Endow., 2021)

Front Matter. - Arun Kumar 001; Alon Y. Halevy; Nesime Tatbul (Proc. VLDB Endow., 2021)

Flow-Loss: Learning Cardinality Estimates That Matter. - Parimarjan Negi; Ryan Marcus; Andreas Kipf; Hongzi Mao; Nesime Tatbul; Tim Kraska; Mohammad Alizadeh (Proc. VLDB Endow., 2021)

Self-Organizing Data Containers. - Samuel Madden 001; Jialin Ding 001; Tim Kraska; Sivaprasad Sudhir; David E. Cohen; Timothy G. Mattson; Nesime Tatbul (CIDR, 2022)

Mach: A Pluggable Metrics Storage Engine for the Age of Observability. - Franco Solleza; Andrew Crotty; Suman Karumuri; Nesime Tatbul; Stan Zdonik (CIDR, 2022)

Editorial. - Alexander Artikis; Nesime Tatbul; Lukasz Golab; Mohammad Sadoghi (Inf. Syst., 2022)

Machine Programming: Turning Data into Programmer Productivity. - Abdul Wasay; Nesime Tatbul; Justin Gottschlich (Proc. VLDB Endow., 2022)

Artifacts Availability & Reproducibility (VLDB 2021 Round Table). - Manos Athanassoulis; Peter Triantafillou; Raja Appuswamy; Rajesh Bordawekar; Badrish Chandramouli; Xuntao Cheng; Ioana Manolescu; Yannis Papakonstantinou; Nesime Tatbul (SIGMOD Rec., 2022)

VLDB Scalable Data Science Category: The Inaugural Year. - Arun Kumar 001; Alon Y. Halevy; Nesime Tatbul (SIGMOD Rec., 2022)

Bao: Making Learned Query Optimization Practical. - Ryan Marcus; Parimarjan Negi; Hongzi Mao; Nesime Tatbul; Mohammad Alizadeh; Tim Kraska (SIGMOD Rec., 2022)

International Workshop on Data Management on New Hardware (DaMoN). - Norman May; Nesime Tatbul (SIGMOD Conference Companion, 2023)

The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era. - Akash Shankaran; George Gu; Weiting Chen; Binwei Yang; Chidamber Kulkarni; Mark Rambacher; Nesime Tatbul; David E. Cohen (VLDB Workshops, 2023)

Event Detection on Twitter. - Ozlem Ceren Sahin; Nesime Tatbul; Pinar Karagoz (CoRR, 2023)

QO-Insight: Inspecting Steered Query Optimizers. - Christoph Anneser; Mario Petruccelli; Nesime Tatbul; David E. Cohen; Zhenggang Xu; Prithviraj Pandian; Nikolay Laptev; Ryan Marcus; Alfons Kemper (Proc. VLDB Endow., 2023)

AutoSteer: Learned Query Optimization for Any SQL Database. - Christoph Anneser; Nesime Tatbul; David E. Cohen; Zhenggang Xu; Prithviraj Pandian; Nikolay Laptev; Ryan Marcus (Proc. VLDB Endow., 2023)

Extract-Transform-Load for Video Streams. - Ferdinand Kossmann; Ziniu Wu; Eugenie Lai; Nesime Tatbul; Lei Cao 004; Tim Kraska; Sam Madden 001 (Proc. VLDB Endow., 2023)

Robust Query Driven Cardinality Estimation under Changing Workloads. - Parimarjan Negi; Ziniu Wu; Andreas Kipf; Nesime Tatbul; Ryan Marcus; Sam Madden 001; Tim Kraska; Mohammad Alizadeh (Proc. VLDB Endow., 2023)

International Workshop on Data Management on New Hardware (DaMoN). - Carsten Binnig; Nesime Tatbul (SIGMOD Conference Companion, 2024)

Kairos: Efficient Temporal Graph Analytics on a Single Machine. - Joana M. F. da Trindade; Julian Shun; Samuel Madden 001; Nesime Tatbul (CoRR, 2024)

CascadeServe: Unlocking Model Cascades for Inference Serving. - Ferdi Kossmann; Ziniu Wu; Alex Turk; Nesime Tatbul; Lei Cao 004; Samuel Madden 001 (CoRR, 2024)

Making LLMs Work for Enterprise Data Tasks. - Çagatay Demiralp; Fabian Wenz; Peter Baile Chen; Moe Kayali; Nesime Tatbul; Michael Stonebraker (CoRR, 2024)

BEAVER: An Enterprise Benchmark for Text-to-SQL. - Peter Baile Chen; Fabian Wenz; Yi Zhang 001; Moe Kayali; Nesime Tatbul; Michael J. Cafarella; Çagatay Demiralp; Michael Stonebraker (CoRR, 2024)

Mind the Data Gap: Bridging LLMs to Enterprise Data Integration. - Moe Kayali; Fabian Wenz; Nesime Tatbul; Çagatay Demiralp (CoRR, 2024)

Special issue on "Machine learning and databases". - Matthias Boehm 001; Nesime Tatbul (VLDB J., 2024)

Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry. - Franco Solleza; Shihang Li; William Sun; Richard Tang; Malte Schwarzkopf; Nesime Tatbul; Andrew Crotty; David Cohen; Stan Zdonik (Proc. VLDB Endow., 2024)

Front Matter. - Meihui Zhang 001; Cyrus Shahabi; Ju Fan; Yang Cao 011; Xiaoou Ding; Divesh Srivastava; Nesime Tatbul; Sihem Amer-Yahia; Yongxin Tong; Yuncheng Wu; Li Xiong 001; Torsten Grust; et al. (Proc. VLDB Endow., 2024)

Front Matter. - Themis Palpanas; Nesime Tatbul (Proc. VLDB Endow., 2025)

Front Matter. - Matthias Boehm 001; Reynod Cheng; Xin Luna Dong; Themis Palpanas; Nesime Tatbul (Proc. VLDB Endow., 2025)

Front Matter. - H. V. Jagadish; M. Tamer Özsu; Themis Palpanas; Nesime Tatbul (Proc. VLDB Endow., 2025)