Nesime Tatbul

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 59

Top Venues

Publications

Matthias Boehm, Nesime Tatbul
Special issue on "Machine learning and databases". VLDB J. 33 (4) (2024)
Çagatay Demiralp, Fabian Wenz, Peter Baile Chen, Moe Kayali, Nesime Tatbul, Michael Stonebraker
Making LLMs Work for Enterprise Data Tasks. CoRR (2024)
Joana M. F. da Trindade, Julian Shun, Samuel Madden, Nesime Tatbul
Kairos: Efficient Temporal Graph Analytics on a Single Machine. CoRR (2024)
Ferdi Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden
CascadeServe: Unlocking Model Cascades for Inference Serving. CoRR (2024)
Carsten Binnig, Nesime Tatbul
International Workshop on Data Management on New Hardware (DaMoN). SIGMOD Conference Companion (2024)
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden
Extract-Transform-Load for Video Streams. Proc. VLDB Endow. 16 (9) (2023)
Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus
AutoSteer: Learned Query Optimization for Any SQL Database. Proc. VLDB Endow. 16 (12) (2023)
Akash Shankaran, George Gu, Weiting Chen, Binwei Yang, Chidamber Kulkarni, Mark Rambacher, Nesime Tatbul, David E. Cohen
The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era. VLDB Workshops (2023)
Norman May, Nesime Tatbul
International Workshop on Data Management on New Hardware (DaMoN). SIGMOD Conference Companion (2023)
Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16 (6) (2023)
Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper
QO-Insight: Inspecting Steered Query Optimizers. Proc. VLDB Endow. 16 (12) (2023)
Ozlem Ceren Sahin, Nesime Tatbul, Pinar Karagoz
Event Detection on Twitter. CoRR (2023)
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden
Extract-Transform-Load for Video Streams. CoRR (2023)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Making Learned Query Optimization Practical. SIGMOD Rec. 51 (1) (2022)
Manos Athanassoulis, Peter Triantafillou, Raja Appuswamy, Rajesh Bordawekar, Badrish Chandramouli, Xuntao Cheng, Ioana Manolescu, Yannis Papakonstantinou, Nesime Tatbul
Artifacts Availability & Reproducibility (VLDB 2021 Round Table). SIGMOD Rec. 51 (2) (2022)
Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David Cohen, Timothy G. Mattson, Nesime Tatbul
Self-Organizing Data Containers. CIDR (2022)
Alexander Artikis, Nesime Tatbul, Lukasz Golab, Mohammad Sadoghi
Editorial. Inf. Syst. 109 (2022)
Arun Kumar, Alon Y. Halevy, Nesime Tatbul
VLDB Scalable Data Science Category: The Inaugural Year. SIGMOD Rec. 51 (3) (2022)
Franco Solleza, Andrew Crotty, Suman Karumuri, Nesime Tatbul, Stan Zdonik
Mach: A Pluggable Metrics Storage Engine for the Age of Observability. CIDR (2022)
Abdul Wasay, Nesime Tatbul, Justin Gottschlich
Machine Programming: Turning Data into Programmer Productivity. Proc. VLDB Endow. 15 (12) (2022)
Arun Kumar, Alon Y. Halevy, Nesime Tatbul
Front Matter. Proc. VLDB Endow. 14 (7) (2021)
Suman Karumuri, Franco Solleza, Stan Zdonik, Nesime Tatbul
Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series. CIDR (2021)
Parimarjan Negi, Ryan C. Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14 (11) (2021)
Vincent Jacob, Fei Song, Arnaud Stiegler, Bijan Rad, Yanlei Diao, Nesime Tatbul
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series. Proc. VLDB Endow. 14 (11) (2021)
Vincent Jacob, Fei Song, Arnaud Stiegler, Bijan Rad, Yanlei Diao, Nesime Tatbul
A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection. Proc. VLDB Endow. 14 (12) (2021)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Making Learned Query Optimization Practical. SIGMOD Conference (2021)
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Flow-Loss: Learning Cardinality Estimates That Matter. CoRR (2021)
Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Cost-Guided Cardinality Estimation: Focus Where it Matters. ICDE Workshops (2020)
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
MISIM: An End-to-End Neural Code Similarity System. CoRR (2020)
Suman Karumuri, Franco Solleza, Stan Zdonik, Nesime Tatbul
Towards Observability Data Management at Scale. SIGMOD Rec. 49 (4) (2020)
Akhilesh Gupta, Nesime Tatbul, Ryan Marcus, Shengtian Zhou, Insup Lee, Justin Gottschlich
Class-Weighted Evaluation Metrics for Imbalanced Data Classification. CoRR (2020)
Anil Shanbhag, Nesime Tatbul, David Cohen, Samuel Madden
DC persistent memory. DaMoN (2020)
Vincent Jacob, Fei Song, Arnaud Stiegler, Yanlei Diao, Nesime Tatbul
AnomalyBench: An Open Benchmark for Explainable Anomaly Detection. CoRR (2020)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Learning to Steer Query Optimizers. CoRR (2020)
El Kindi Rezig, Ashrita Brahmaroutu, Nesime Tatbul, Mourad Ouzzani, Nan Tang, Timothy G. Mattson, Samuel Madden, Michael Stonebraker
Debugging Large-Scale Data Science Pipelines using Dagger. Proc. VLDB Endow. 13 (12) (2020)
Ryan C. Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
Neo: A Learned Query Optimizer. Proc. VLDB Endow. 12 (11) (2019)
Philipp Eichmann, Franco Solleza, Junjay Tan, Nesime Tatbul, Stan Zdonik
Metro-Viz: Black-Box Analysis of Time Series Anomaly Detectors. CHI Extended Abstracts (2019)
Philipp Eichmann, Franco Solleza, Nesime Tatbul, Stan Zdonik
Visual Exploration of Time Series Anomalies with Metro-Viz. SIGMOD Conference (2019)
Nesime Tatbul
Tools for Advanced Time Series Analytics: Enabling the Future. CIDR (2019)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
Neo: A Learned Query Optimizer. CoRR (2019)
Ozlem Ceren Sahin, Pinar Karagoz, Nesime Tatbul
Streaming Event Detection in Microblogs: Balancing Accuracy and Performance. ICWE (2019)
Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Vasimuddin Md, Tim Kraska
LISA: Towards Learned DNA Sequence Search. CoRR (2019)
Mejbah Alam, Justin Gottschlich, Nesime Tatbul, Javier S. Turek, Tim Mattson, Abdullah Muzahid
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions. NeurIPS (2019)
Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Mejbah Alam, Justin Gottschlich
Precision and Recall for Time Series. NeurIPS (2018)
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
The three pillars of machine programming. MAPL@PLDI (2018)
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
The Three Pillars of Machine-Based Programming. CoRR (2018)
Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Justin Gottschlich
A New Model for Evaluating Range-Based Anomaly Detection Algorithms. CoRR (2018)
Nesime Tatbul
New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote). DEBS (2018)
Tae-Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection. CoRR (2018)
Tae Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik
Precision and Recall for Range-Based Anomaly Detection. CoRR (2018)
John Meehan, Cansu Aslantas, Stan Zdonik, Nesime Tatbul, Jiang Du
Data Ingestion for the Connected World. CIDR (2017)
Jiang Du, John Meehan, Nesime Tatbul, Stan Zdonik
Towards Dynamic Data Placement for Polystore Ingestion. BIRTE (2017)
Jiang Du, John Meehan, Nesime Tatbul, Stan Zdonik
Towards Dynamic Data Placement for Polystore Ingestion. BIRTE (Revised Selected Papers) (2017)
John Meehan, Stan Zdonik, Shaobo Tian, Yulong Tian, Nesime Tatbul, Adam Dziedzic, Aaron J. Elmore
Integrating real-time and batch processing in a polystore. HPEC (2016)
John Meehan, Nesime Tatbul, Stanley B. Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo, Michael Stonebraker, Kristin Tufte, Hao Wang
S-Store: Streaming Meets Transaction Processing. CoRR (2015)
Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8 (12) (2015)
Malú Castellanos, Umeshwar Dayal, Nesime Tatbul, Damianos Chatziantoniou, Qiming Chen
Report on the 8th International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE'14). SIGMOD Rec. 44 (3) (2015)
Nesime Tatbul, Stan Zdonik, John Meehan, Cansu Aslantas, Michael Stonebraker, Kristin Tufte, Chris Giossi, Hong Quach
Handling Shared, Mutable State in Stream Processing with Correctness Guarantees. IEEE Data Eng. Bull. 38 (4) (2015)
John Meehan, Nesime Tatbul, Stan Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo, Michael Stonebraker, Kristin Tufte, Hao Wang
S-Store: Streaming Meets Transaction Processing. Proc. VLDB Endow. 8 (13) (2015)
Boris Glavic, Kyumars Sheykh Esmaili, Peter M. Fischer, Nesime Tatbul
Efficient Stream Provenance via Operator Instrumentation. ACM Trans. Internet Techn. 14 (1) (2014)
Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, John Meehan, Andrew Pavlo, Michael Stonebraker, Erik Sutherland, Nesime Tatbul, Kristin Tufte, Hao Wang, Stanley B. Zdonik
S-Store: A Streaming NewSQL System for Big Velocity Applications. Proc. VLDB Endow. 7 (13) (2014)
Fatma Özcan, Nesime Tatbul, Daniel J. Abadi, Marcel Kornacker, C. Mohan, Karthik Ramasamy, Janet L. Wiener
Are we experiencing a big data bubble? SIGMOD Conference (2014)
Boris Glavic, Kyumars Sheykh Esmaili, Peter Michael Fischer, Nesime Tatbul
Ariadne: managing fine-grained provenance on data streams. DEBS (2013)
Cagri Balkesen, Nihal Dindar, Matthias Wetter, Nesime Tatbul
RIP: run-based intra-query parallelism for scalable complex event processing. DEBS (2013)
Cagri Balkesen, Nesime Tatbul, M. Tamer Özsu
Adaptive input admission and management for parallel stream processing. DEBS (2013)
Nihal Dindar, Nesime Tatbul, Renée J. Miller, Laura M. Haas, Irina Botan
Modeling the execution semantics of stream processing engines with SECRET. VLDB J. 22 (4) (2013)
Irina Botan, Peter M. Fischer, Donald Kossmann, Nesime Tatbul
Transactional stream processing. EDBT (2012)
Ahmet Sacan, Nesime Tatbul
Letter from the Associate Editors. Proc. VLDB Endow. 5 (10) (2012)
Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul
Stream as You Go: The Case for Incremental Data Access and Processing in the Cloud. ICDE Workshops (2012)
Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul
Incremental DNA Sequence Analysis in the Cloud. SSDBM (2012)
Alexandru Moga, Irina Botan, Nesime Tatbul
UpStream: storage-centric load management for streaming applications with update semantics. VLDB J. 20 (6) (2011)
Boris Glavic, Kyumars Sheykh Esmaili, Peter M. Fischer, Nesime Tatbul
The Case for Fine-Grained Stream Provenance. BTW Workshops (2011)
Nihal Dindar, Peter M. Fischer, Merve Soner, Nesime Tatbul
Efficiently correlating complex events over live and archived data streams. DEBS (2011)
Michael Duller, Jan S. Rellermeyer, Gustavo Alonso, Nesime Tatbul
Virtualizing Stream Processing. Middleware (2011)
Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul
Large-Scale DNA Sequence Analysis in the Cloud: A Stream-Based Approach. Euro-Par Workshops (2) (2011)
Erik Buchmann, Nesime Tatbul, Mario A. Nascimento
Query processing in sensor networks. Distributed Parallel Databases 29 (1-2) (2011)
Nihal Dindar, Peter M. Fischer, Nesime Tatbul
DejaVu: a complex event processing system for pattern matching over live and historical data streams. DEBS (2011)
Alexandru Moga, Nesime Tatbul
UpStream: A Storage-centric Load Management System for Real-time Update Streams. Proc. VLDB Endow. 4 (12) (2011)
Asli Özal, Anand Ranganathan, Nesime Tatbul
Real-time route planning with stream processing systems: a case study for the city of Lucerne. GIS-IWGS (2011)
Kyumars Sheykh Esmaili, Tahmineh Sanamrad, Peter M. Fischer, Nesime Tatbul
Changing flights in mid-air: a model for safely modifying continuous queries. SIGMOD Conference (2011)
Irina Botan, Roozbeh Derakhshan, Nihal Dindar, Laura M. Haas, Renée J. Miller, Nesime Tatbul
SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems. Proc. VLDB Endow. 3 (1) (2010)
Nesime Tatbul
Streaming data integration: Challenges and opportunities. ICDE Workshops (2010)
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, Beomjin Yun, Jin Zhang
A demonstration of the MaxStream federated stream processing system. ICDE (2010)
Irina Botan, Younggoo Cho, Roozbeh Derakhshan, Nihal Dindar, Laura M. Haas, Kihong Kim, Nesime Tatbul
Federated Stream Processing Support for Real-Time Business Intelligence Applications. BIRTE (2009)
Nihal Dindar, Cagri Balkesen, Katina Kromwijk, Nesime Tatbul
Event Processing Support for Cross-Reality Environments. IEEE Pervasive Comput. 8 (3) (2009)
Irina Botan, Gustavo Alonso, Peter M. Fischer, Donald Kossmann, Nesime Tatbul
Flexible and scalable storage management for data-intensive stream processing. EDBT (2009)
Nihal Dindar, Baris Güç, Patrick Lau, Asli Özal, Merve Soner, Nesime Tatbul
DejaVu: declarative pattern matching over live and archived streams of events. SIGMOD Conference (2009)
Mert Akdere, Ugur Çetintemel, Nesime Tatbul
Plan-based complex event detection across distributed sources. Proc. VLDB Endow. 1 (1) (2008)
Gustavo Alonso, Donald Kossmann, Timothy Roscoe, Nesime Tatbul, Andrew Baumann, Carsten Binnig, Peter M. Fischer, Oriana Riva, Jens Teubner
The ETH Zurich systems group and enterprise computing center. SIGMOD Rec. 37 (4) (2008)
Nesime Tatbul, Ugur Çetintemel, Stanley B. Zdonik
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing. VLDB (2007)
Nesime Tatbul, Stanley B. Zdonik
Dealing with Overload in Distributed Stream Processing Systems. ICDE Workshops (2006)
Nesime Tatbul, Stanley B. Zdonik
Window-Aware Load Shedding for Aggregation Queries over Data Streams. VLDB (2006)
Nesime Tatbul, Yanif Ahmad, Ugur Çetintemel, Jeong-Hyon Hwang, Ying Xing, Stanley B. Zdonik
Load Management and High Availability in the Borealis Distributed Stream Processing Engine. GSN (2006)
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, Stanley B. Zdonik
Distributed operation in the Borealis stream processing engine. SIGMOD Conference (2005)
Daniel J. Abadi, Yanif Ahmad, Magdalena Balazinska, Ugur Çetintemel, Mitch Cherniack, Jeong-Hyon Hwang, Wolfgang Lindner, Anurag Maskey, Alex Rasin, Esther Ryvkina, Nesime Tatbul, Ying Xing, Stanley B. Zdonik
The Design of the Borealis Stream Processing Engine. CIDR (2005)
Nesime Tatbul, Mark J. Buller, Reed W. Hoyt, Steve Mullen, Stanley B. Zdonik
Confidence-based data management for personal area sensor networks. DMSN (2004)
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
Retrospective on Aurora. VLDB J. 13 (4) (2004)
Daniel J. Abadi, Donald Carney, Ugur Çetintemel, Mitch Cherniack, Christian Convey, Sangdon Lee, Michael Stonebraker, Nesime Tatbul, Stanley B. Zdonik
Aurora: a new model and architecture for data stream management. VLDB J. 12 (2) (2003)
Nesime Tatbul, Ugur Çetintemel, Stanley B. Zdonik, Mitch Cherniack, Michael Stonebraker
Load Shedding in a Data Stream Manager. VLDB (2003)
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, Nesime Tatbul, Ying Xing, R. Yan, Stanley B. Zdonik
Aurora: A Data Stream Management System. SIGMOD Conference (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nesime Tatbul