Nesime Tatbul - RankMe

148 papers A* 9A 9B 6C 3Journal 72Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation. CIDR Fabian Wenz, Omar Bouattour, Devin Yang, Justin Choi, Cecil Gregg, Nesime Tatbul, Çagatay Demiralp
2026	J	`jnl`	Ken: An Execution Engine for Unstructured Database Systems. Proc. VLDB Endow. Ferdinand Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden
2025	J	`jnl`	BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation. CoRR Fabian Wenz, Omar Bouattour, Devin Yang, Justin Choi, Cecil Gregg, Nesime Tatbul, Çagatay Demiralp
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Sonia Bergamaschi, Sourav S. Bhowmick, Philippe Bonnet, Surajit Chaudhuri, Xiaoou Ding, Hakan Ferhatosmanoglu, Raul Castro Fernandez, Jana Giceva, Madelon Hulsebos, Alexandra Meliou, Nikos Ntarmos, Themis Palpanas, John Paparrizos, Norman Paton, Subhadeep Sarkar, Giovanni Simonini, Nesime Tatbul, Jiuqi Wei, Jingren Zhou
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Matthias Boehm, Reynold Cheng, Xin Luna Dong, Themis Palpanas, Nesime Tatbul
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Xiaoou Ding, Themis Palpanas, Subhadeep Sarkar, Giovanni Simonini, Nesime Tatbul
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. H. V. Jagadish, M. Tamer Özsu, Themis Palpanas, Nesime Tatbul
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Wolfgang Lehner, Jun Yang, Themis Palpanas, Nesime Tatbul
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Themis Palpanas, Peter R. Pietzuch, Nesime Tatbul, Peter Triantafillou
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Themis Palpanas, Divesh Srivastava, Nesime Tatbul
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Themis Palpanas, Nesime Tatbul
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Themis Palpanas, Nesime Tatbul
2025	—	`conf`	Kernel Extension DSLs Should Be Verifier-Safe! eBPF@SIGCOMM Franco Solleza, Justus Adam, Akshay Narayan, Malte Schwarzkopf, Andrew Crotty, Nesime Tatbul
2025	A*	`conf`	Loom: Efficient Capture and Querying of High-Frequency Telemetry. SOSP Franco Solleza, Shihang Li, William Sun, Richard Tang, Malte Schwarzkopf, Andrew Crotty, David Cohen, Nesime Tatbul, Stan Zdonik
2025	A	`conf`	Mind the Data Gap: Bridging Large Language Models (LLMs) to Enterprise Data Integration. CIDR Moe Kayali, Fabian Wenz, Nesime Tatbul, Çagatay Demiralp
2024	J	`jnl`	BEAVER: An Enterprise Benchmark for Text-to-SQL. CoRR Peter Baile Chen, Fabian Wenz, Yi Zhang, Moe Kayali, Nesime Tatbul, Michael J. Cafarella, Çagatay Demiralp, Michael Stonebraker
2024	J	`jnl`	CascadeServe: Unlocking Model Cascades for Inference Serving. CoRR Ferdi Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden
2024	J	`jnl`	Front Matter. Proc. VLDB Endow. Themis Palpanas, Nesime Tatbul
2024	J	`jnl`	Front Matter. Proc. VLDB Endow. Themis Palpanas, Nesime Tatbul
2024	J	`jnl`	Front Matter. Proc. VLDB Endow. Themis Palpanas, Nesime Tatbul
2024	J	`jnl`	Front Matter. Proc. VLDB Endow. Manos Athanassoulis, Ioana Manolescu, Beng Chin Ooi, Themis Palpanas, Nesime Tatbul
2024	J	`jnl`	Front Matter. Proc. VLDB Endow. Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou
2024	—	`conf`	International Workshop on Data Management on New Hardware (DaMoN). SIGMOD Conference Companion Carsten Binnig, Nesime Tatbul
2024	J	`jnl`	Kairos: Efficient Temporal Graph Analytics on a Single Machine. CoRR Joana M. F. da Trindade, Julian Shun, Samuel Madden, Nesime Tatbul
2024	J	`jnl`	Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry. Proc. VLDB Endow. Franco Solleza, Shihang Li, William Sun, Richard Tang, Malte Schwarzkopf, Nesime Tatbul, Andrew Crotty, David Cohen, Stan Zdonik
2024	J	`jnl`	Making LLMs Work for Enterprise Data Tasks. CoRR Çagatay Demiralp, Fabian Wenz, Peter Baile Chen, Moe Kayali, Nesime Tatbul, Michael Stonebraker
2024	J	`jnl`	Mind the Data Gap: Bridging LLMs to Enterprise Data Integration. CoRR Moe Kayali, Fabian Wenz, Nesime Tatbul, Çagatay Demiralp
2024	C	`ed.`	Proceedings of the 20th International Workshop on Data Management on New Hardware, DaMoN 2024, Santiago, Chile, 10 June 2024 DaMoN Carsten Binnig, Nesime Tatbul
2024	J	`jnl`	Special issue on "Machine learning and databases". VLDB J. Matthias Boehm, Nesime Tatbul
2023	J	`jnl`	AutoSteer: Learned Query Optimization for Any SQL Database. Proc. VLDB Endow. Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus
2023	J	`jnl`	Event Detection on Twitter. CoRR Ozlem Ceren Sahin, Nesime Tatbul, Pinar Karagoz
2023	J	`jnl`	Extract-Transform-Load for Video Streams. CoRR Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden
2023	J	`jnl`	Extract-Transform-Load for Video Streams. Proc. VLDB Endow. Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden
2023	—	`conf`	International Workshop on Data Management on New Hardware (DaMoN). SIGMOD Conference Companion Norman May, Nesime Tatbul
2023	C	`ed.`	Proceedings of the 19th International Workshop on Data Management on New Hardware, DaMoN 2023, Seattle, WA, USA, June 18-23, 2023 DaMoN Norman May, Nesime Tatbul
2023	J	`jnl`	QO-Insight: Inspecting Steered Query Optimizers. Proc. VLDB Endow. Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper
2023	J	`jnl`	Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh
2023	—	`conf`	The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era. VLDB Workshops Akash Shankaran, George Gu, Weiting Chen, Binwei Yang, Chidamber Kulkarni, Mark Rambacher, Nesime Tatbul, David E. Cohen
2022	J	`jnl`	Artifacts Availability & Reproducibility (VLDB 2021 Round Table). SIGMOD Rec. Manos Athanassoulis, Peter Triantafillou, Raja Appuswamy, Rajesh Bordawekar, Badrish Chandramouli, Xuntao Cheng, Ioana Manolescu, Yannis Papakonstantinou, Nesime Tatbul
2022	J	`jnl`	Bao: Making Learned Query Optimization Practical. SIGMOD Rec. Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2022	J	`jnl`	Editorial. Inf. Syst. Alexander Artikis, Nesime Tatbul, Lukasz Golab, Mohammad Sadoghi
2022	A	`conf`	Mach: A Pluggable Metrics Storage Engine for the Age of Observability. CIDR Franco Solleza, Andrew Crotty, Suman Karumuri, Nesime Tatbul, Stan Zdonik
2022	J	`jnl`	Machine Programming: Turning Data into Programmer Productivity. Proc. VLDB Endow. Abdul Wasay, Nesime Tatbul, Justin Gottschlich
2022	A	`conf`	Self-Organizing Data Containers. CIDR Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul
2022	J	`jnl`	VLDB Scalable Data Science Category: The Inaugural Year. SIGMOD Rec. Arun Kumar, Alon Y. Halevy, Nesime Tatbul
2021	—	`ed.`	15th ACM International Conference on Distributed and Event-based Systems, DEBS 2021, Virtual Event, Italy, June 28 - July 2, 2021. DEBS Alessandro Margara, Emanuele Della Valle, Alexander Artikis, Nesime Tatbul, Helge Parzyjegla
2021	J	`jnl`	A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection. Proc. VLDB Endow. Vincent Jacob, Fei Song, Arnaud Stiegler, Bijan Rad, Yanlei Diao, Nesime Tatbul
2021	—	`conf`	Bao: Making Learned Query Optimization Practical. SIGMOD Conference Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2021	A	`conf`	Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series. CIDR Suman Karumuri, Franco Solleza, Stan Zdonik, Nesime Tatbul
2021	J	`jnl`	Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series. Proc. VLDB Endow. Vincent Jacob, Fei Song, Arnaud Stiegler, Bijan Rad, Yanlei Diao, Nesime Tatbul
2021	J	`jnl`	Flow-Loss: Learning Cardinality Estimates That Matter. CoRR Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2021	J	`jnl`	Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2021	J	`jnl`	Front Matter. Proc. VLDB Endow. Arun Kumar, Alon Y. Halevy, Nesime Tatbul
2021	—	`ed.`	aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, Virtual Event, China, 25 June, 2021. aiDM@SIGMOD Rajesh Bordawekar, Yael Amsterdamer, Oded Shmueli, Nesime Tatbul
2020	J	`jnl`	AnomalyBench: An Open Benchmark for Explainable Anomaly Detection. CoRR Vincent Jacob, Fei Song, Arnaud Stiegler, Yanlei Diao, Nesime Tatbul
2020	J	`jnl`	Bao: Learning to Steer Query Optimizers. CoRR Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2020	J	`jnl`	Class-Weighted Evaluation Metrics for Imbalanced Data Classification. CoRR Akhilesh Gupta, Nesime Tatbul, Ryan Marcus, Shengtian Zhou, Insup Lee, Justin Gottschlich
2020	—	`conf`	Cost-Guided Cardinality Estimation: Focus Where it Matters. ICDE Workshops Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2020	J	`jnl`	Debugging Large-Scale Data Science Pipelines using Dagger. Proc. VLDB Endow. El Kindi Rezig, Ashrita Brahmaroutu, Nesime Tatbul, Mourad Ouzzani, Nan Tang, Timothy G. Mattson, Samuel Madden, Michael Stonebraker
2020	C	`conf`	Large-scale in-memory analytics on Intel DaMoN Anil Shanbhag, Nesime Tatbul, David E. Cohen, Samuel Madden
2020	J	`jnl`	MISIM: An End-to-End Neural Code Similarity System. CoRR 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
2020	—	`ed.`	Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020. aiDM@SIGMOD Rajesh Bordawekar, Oded Shmueli, Nesime Tatbul, Tin Kam Ho
2020	J	`jnl`	Towards Observability Data Management at Scale. SIGMOD Rec. Suman Karumuri, Franco Solleza, Stan Zdonik, Nesime Tatbul
2019	A*	`conf`	A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions. NeurIPS Mejbah Alam, Justin Gottschlich, Nesime Tatbul, Javier S. Turek, Tim Mattson, Abdullah Muzahid
2019	J	`jnl`	LISA: Towards Learned DNA Sequence Search. CoRR Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska
2019	—	`conf`	Metro-Viz: Black-Box Analysis of Time Series Anomaly Detectors. CHI Extended Abstracts Philipp Eichmann, Franco Solleza, Junjay Tan, Nesime Tatbul, Stan Zdonik
2019	J	`jnl`	Neo: A Learned Query Optimizer. CoRR Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019	J	`jnl`	Neo: A Learned Query Optimizer. Proc. VLDB Endow. Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019	B	`conf`	Streaming Event Detection in Microblogs: Balancing Accuracy and Performance. ICWE Ozlem Ceren Sahin, Pinar Karagoz, Nesime Tatbul
2019	—	`ch.`	The Aurora/Borealis/streambase codelines: a tale of three systems. Making Databases Work Nesime Tatbul
2019	A	`conf`	Tools for Advanced Time Series Analytics: Enabling the Future. CIDR Nesime Tatbul
2019	—	`conf`	Visual Exploration of Time Series Anomalies with Metro-Viz. SIGMOD Conference Philipp Eichmann, Franco Solleza, Nesime Tatbul, Stan Zdonik
2018	J	`jnl`	A New Model for Evaluating Range-Based Anomaly Detection Algorithms. CoRR Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Justin Gottschlich
2018	J	`jnl`	Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection. CoRR Tae-Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik
2018	—	`ch.`	Load Shedding. Encyclopedia of Database Systems (2nd ed.) Nesime Tatbul
2018	—	`conf`	New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote). DEBS Nesime Tatbul
2018	J	`jnl`	Precision and Recall for Range-Based Anomaly Detection. CoRR Tae Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik
2018	A*	`conf`	Precision and Recall for Time Series. NeurIPS Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Mejbah Alam, Justin Gottschlich
2018	J	`jnl`	The Three Pillars of Machine-Based Programming. CoRR Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
2018	—	`conf`	The three pillars of machine programming. MAPL@PLDI Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
2018	—	`ch.`	Transactional Stream Processing. Encyclopedia of Database Systems (2nd ed.) Nesime Tatbul
2017	A	`conf`	Data Ingestion for the Connected World. CIDR John Meehan, Cansu Aslantas, Stan Zdonik, Nesime Tatbul, Jiang Du
2017	—	`conf`	Towards Dynamic Data Placement for Polystore Ingestion. BIRTE Jiang Du, John Meehan, Nesime Tatbul, Stan Zdonik
2017	—	`conf`	Towards Dynamic Data Placement for Polystore Ingestion. BIRTE (Revised Selected Papers) Jiang Du, John Meehan, Nesime Tatbul, Stan Zdonik
2016	—	`conf`	Integrating real-time and batch processing in a polystore. HPEC John Meehan, Stan Zdonik, Shaobo Tian, Yulong Tian, Nesime Tatbul, Adam Dziedzic, Aaron J. Elmore
2016	—	`ch.`	The Aurora and Borealis Stream Processing Engines. Data Stream Management Ugur Çetintemel, Daniel J. Abadi, Yanif Ahmad, Hari Balakrishnan, Magdalena Balazinska, Mitch Cherniack, Jeong-Hyon Hwang, Samuel Madden, Anurag Maskey, Alexander Rasin, Esther Ryvkina, Mike Stonebraker, Nesime Tatbul, Ying Xing, Stan Zdonik
2015	J	`jnl`	A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 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
2015	—	`ed.`	Enabling Real-Time Business Intelligence - International Workshops, BIRTE 2013, Riva del Garda, Italy, August 26, 2013, and BIRTE 2014, Hangzhou, China, September 1, 2014, Revised Selected Papers BIRTE Malú Castellanos, Umeshwar Dayal, Torben Bach Pedersen, Nesime Tatbul
2015	J	`jnl`	Handling Shared, Mutable State in Stream Processing with Correctness Guarantees. IEEE Data Eng. Bull. Nesime Tatbul, Stan Zdonik, John Meehan, Cansu Aslantas, Michael Stonebraker, Kristin Tufte, Chris Giossi, Hong Quach
2015	J	`jnl`	Report on the 8th International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE'14). SIGMOD Rec. Malú Castellanos, Umeshwar Dayal, Nesime Tatbul, Damianos Chatziantoniou, Qiming Chen
2015	J	`jnl`	S-Store: Streaming Meets Transaction Processing. CoRR 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
2015	J	`jnl`	S-Store: Streaming Meets Transaction Processing. Proc. VLDB Endow. 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
2014	—	`conf`	Are we experiencing a big data bubble? SIGMOD Conference Fatma Özcan, Nesime Tatbul, Daniel J. Abadi, Marcel Kornacker, C. Mohan, Karthik Ramasamy, Janet L. Wiener
2014	J	`jnl`	Efficient Stream Provenance via Operator Instrumentation. ACM Trans. Internet Techn. Boris Glavic, Kyumars Sheykh Esmaili, Peter M. Fischer, Nesime Tatbul
2014	J	`jnl`	S-Store: A Streaming NewSQL System for Big Velocity Applications. Proc. VLDB Endow. 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
2013	—	`conf`	Adaptive input admission and management for parallel stream processing. DEBS Cagri Balkesen, Nesime Tatbul, M. Tamer Özsu
2013	—	`conf`	Ariadne: managing fine-grained provenance on data streams. DEBS Boris Glavic, Kyumars Sheykh Esmaili, Peter Michael Fischer, Nesime Tatbul
2013	J	`jnl`	Modeling the execution semantics of stream processing engines with SECRET. VLDB J. Nihal Dindar, Nesime Tatbul, Renée J. Miller, Laura M. Haas, Irina Botan
2013	—	`conf`	RIP: run-based intra-query parallelism for scalable complex event processing. DEBS Cagri Balkesen, Nihal Dindar, Matthias Wetter, Nesime Tatbul
2012	B	`conf`	Incremental DNA Sequence Analysis in the Cloud. SSDBM Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul
2012	J	`jnl`	Letter from the Associate Editors. Proc. VLDB Endow. Ahmet Sacan, Nesime Tatbul
2012	—	`conf`	Stream as You Go: The Case for Incremental Data Access and Processing in the Cloud. ICDE Workshops Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul
2012	B	`conf`	Transactional stream processing. EDBT Irina Botan, Peter M. Fischer, Donald Kossmann, Nesime Tatbul
2011	—	`conf`	Changing flights in mid-air: a model for safely modifying continuous queries. SIGMOD Conference Kyumars Sheykh Esmaili, Tahmineh Sanamrad, Peter M. Fischer, Nesime Tatbul
2011	—	`conf`	DejaVu: a complex event processing system for pattern matching over live and historical data streams. DEBS Nihal Dindar, Peter M. Fischer, Nesime Tatbul
2011	—	`conf`	Efficiently correlating complex events over live and archived data streams. DEBS Nihal Dindar, Peter M. Fischer, Merve Soner, Nesime Tatbul
2011	—	`conf`	Large-Scale DNA Sequence Analysis in the Cloud: A Stream-Based Approach. Euro-Par Workshops (2) Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul
2011	J	`jnl`	Query processing in sensor networks. Distributed Parallel Databases Erik Buchmann, Nesime Tatbul, Mario A. Nascimento
2011	—	`conf`	Real-time route planning with stream processing systems: a case study for the city of Lucerne. GIS-IWGS Asli Özal, Anand Ranganathan, Nesime Tatbul
2011	—	`conf`	The Case for Fine-Grained Stream Provenance. BTW Workshops Boris Glavic, Kyumars Sheykh Esmaili, Peter M. Fischer, Nesime Tatbul
2011	J	`jnl`	UpStream: A Storage-centric Load Management System for Real-time Update Streams. Proc. VLDB Endow. Alexandru Moga, Nesime Tatbul
2011	J	`jnl`	UpStream: storage-centric load management for streaming applications with update semantics. VLDB J. Alexandru Moga, Irina Botan, Nesime Tatbul
2011	A	`conf`	Virtualizing Stream Processing. Middleware Michael Duller, Jan S. Rellermeyer, Gustavo Alonso, Nesime Tatbul
2010	A*	`conf`	A demonstration of the MaxStream federated stream processing system. ICDE 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
2010	J	`jnl`	SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems. Proc. VLDB Endow. Irina Botan, Roozbeh Derakhshan, Nihal Dindar, Laura M. Haas, Renée J. Miller, Nesime Tatbul
2010	—	`conf`	Streaming data integration: Challenges and opportunities. ICDE Workshops Nesime Tatbul
2009	—	`conf`	DejaVu: declarative pattern matching over live and archived streams of events. SIGMOD Conference Nihal Dindar, Baris Güç, Patrick Lau, Asli Özal, Merve Soner, Nesime Tatbul
2009	J	`jnl`	Event Processing Support for Cross-Reality Environments. IEEE Pervasive Comput. Nihal Dindar, Cagri Balkesen, Katina Kromwijk, Nesime Tatbul
2009	—	`conf`	Federated Stream Processing Support for Real-Time Business Intelligence Applications. BIRTE Irina Botan, Younggoo Cho, Roozbeh Derakhshan, Nihal Dindar, Laura M. Haas, Kihong Kim, Nesime Tatbul
2009	B	`conf`	Flexible and scalable storage management for data-intensive stream processing. EDBT Irina Botan, Gustavo Alonso, Peter M. Fischer, Donald Kossmann, Nesime Tatbul
2009	—	`ch.`	Load Shedding. Encyclopedia of Database Systems Nesime Tatbul
2009	—	`ed.`	Proceedings of the 6th Workshop on Data Management for Sensor Networks, in conjunction with VLDB, DMSN 2009, Lyon, France, August 24, 2009 DMSN Mario A. Nascimento, Nesime Tatbul
2009	—	`ed.`	Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2009, Providence, Rhode Island, USA, June 29 - July 2, 2009 SIGMOD Conference Ugur Çetintemel, Stanley B. Zdonik, Donald Kossmann, Nesime Tatbul
2008	J	`jnl`	Plan-based complex event detection across distributed sources. Proc. VLDB Endow. Mert Akdere, Ugur Çetintemel, Nesime Tatbul
2008	J	`jnl`	The ETH Zurich systems group and enterprise computing center. SIGMOD Rec. Gustavo Alonso, Donald Kossmann, Timothy Roscoe, Nesime Tatbul, Andrew Baumann, Carsten Binnig, Peter M. Fischer, Oriana Riva, Jens Teubner
2007	—	`—`	Load Shedding Techniques for Data Stream Management Systems. Nesime Tatbul
2007	A*	`conf`	Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing. VLDB Nesime Tatbul, Ugur Çetintemel, Stanley B. Zdonik
2006	—	`conf`	Dealing with Overload in Distributed Stream Processing Systems. ICDE Workshops Nesime Tatbul, Stanley B. Zdonik
2006	—	`conf`	Load Management and High Availability in the Borealis Distributed Stream Processing Engine. GSN Nesime Tatbul, Yanif Ahmad, Ugur Çetintemel, Jeong-Hyon Hwang, Ying Xing, Stanley B. Zdonik
2006	A*	`conf`	Window-Aware Load Shedding for Aggregation Queries over Data Streams. VLDB Nesime Tatbul, Stanley B. Zdonik
2005	—	`conf`	Distributed operation in the Borealis stream processing engine. SIGMOD Conference 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
2005	A	`conf`	The Design of the Borealis Stream Processing Engine. CIDR 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
2004	—	`conf`	Confidence-based data management for personal area sensor networks. DMSN Nesime Tatbul, Mark J. Buller, Reed W. Hoyt, Steve Mullen, Stanley B. Zdonik
2004	J	`jnl`	Retrospective on Aurora. VLDB J. 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
2003	—	`conf`	Aurora: A Data Stream Management System. SIGMOD Conference 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
2003	J	`jnl`	Aurora: a new model and architecture for data stream management. VLDB J. Daniel J. Abadi, Donald Carney, Ugur Çetintemel, Mitch Cherniack, Christian Convey, Sangdon Lee, Michael Stonebraker, Nesime Tatbul, Stanley B. Zdonik
2003	A*	`conf`	Load Shedding in a Data Stream Manager. VLDB Nesime Tatbul, Ugur Çetintemel, Stanley B. Zdonik, Mitch Cherniack, Michael Stonebraker
2002	A*	`conf`	Monitoring Streams - A New Class of Data Management Applications. VLDB Donald Carney, Ugur Çetintemel, Mitch Cherniack, Christian Convey, Sangdon Lee, Greg Seidman, Michael Stonebraker, Nesime Tatbul, Stanley B. Zdonik
2002	—	`conf`	OoS-Driven Load Shedding on Data Streams. EDBT PhD Workshop Nesime Tatbul
2002	—	`conf`	QoS-Driven Load Shedding on Data Streams. EDBT Workshops Nesime Tatbul
2000	B	`conf`	A Workflow System through Cooperating Agents for Control and Document Flow over the Internet. CoopIS Asuman Dogac, Yusuf Tambag, Arif Tumer, M. Ezbiderli, Nesime Tatbul, N. Hamali, C. Icdem, Catriel Beeri
2000	J	`jnl`	An open electronic marketplace through agent-based workflows: MOPPET. Int. J. Digit. Libr. Sena Nural Arpinar, Asuman Dogac, Nesime Tatbul
2000	A*	`conf`	The MARIFlow Workflow Management System. ICDE Asuman Dogac, M. Ezbiderli, Yusuf Tambag, C. Icdem, Arif Tumer, Nesime Tatbul, N. Hamali, Catriel Beeri
1999	—	`conf`	An Adaptable Workflow System Architecture on the Internet for Electronic Commerce Applications. DOA Ibrahim Cingil, Asuman Dogac, Nesime Tatbul, Sena Nural Arpinar
1998	J	`jnl`	A Workflow-based Electronic Marketplace on the Web. SIGMOD Rec. Asuman Dogac, Ilker Durusoy, Sena Nural Arpinar, Nesime Tatbul, Pinar Koksal, Ibrahim Cingil, Nazife Dimililer
1998	—	`conf`	METU-Emar: An Agent-Based Electronic Marketplace on the Web. ECDL Asuman Dogac, Ilker Durusoy, Sena Nural Arpinar, Esin Gokkoca, Nesime Tatbul, Pinar Koksal
1998	—	`conf`	Task Handling in Workflow Management Systems. IADT Pinar Karagoz, Sena Nural Arpinar, Pinar Koksal, Nesime Tatbul, Esin Gokkoca, Asuman Dogac
1997	B	`conf`	Design and Implementation of a Distributed Workflow Enactment Service. CoopIS Esin Gokkoca, Mehmet Altinel, Ibrahim Cingil, Nesime Tatbul, Pinar Koksal, Asuman Dogac