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Nesime Tatbul
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2024
- [j38]Franco Solleza, Shihang Li, William Sun, Richard Tang, Malte Schwarzkopf, Nesime Tatbul, Andrew Crotty, David Cohen, Stan Zdonik:
Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry. Proc. VLDB Endow. 17(12): 4425-4428 (2024) - [j37]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:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [j36]Matthias Boehm, Nesime Tatbul:
Special issue on "Machine learning and databases". VLDB J. 33(4): 901 (2024) - [c58]Carsten Binnig
, Nesime Tatbul
International Workshop on Data Management on New Hardware (DaMoN). SIGMOD Conference Companion 2024: 645-646 - [e8]Carsten Binnig, Nesime Tatbul:
Proceedings of the 20th International Workshop on Data Management on New Hardware, DaMoN 2024, Santiago, Chile, 10 June 2024. ACM 2024 [contents] - [i18]Joana M. F. da Trindade, Julian Shun, Samuel Madden, Nesime Tatbul:
Kairos: Efficient Temporal Graph Analytics on a Single Machine. CoRR abs/2401.02563 (2024) - [i17]Ferdi Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden:
CascadeServe: Unlocking Model Cascades for Inference Serving. CoRR abs/2406.14424 (2024) - [i16]Çagatay Demiralp, Fabian Wenz, Peter Baile Chen, Moe Kayali, Nesime Tatbul, Michael Stonebraker:
Making LLMs Work for Enterprise Data Tasks. CoRR abs/2407.20256 (2024) - [i15]Peter Baile Chen, Fabian Wenz, Yi Zhang, Moe Kayali, Nesime Tatbul, Michael J. Cafarella, Çagatay Demiralp, Michael Stonebraker:
BEAVER: An Enterprise Benchmark for Text-to-SQL. CoRR abs/2409.02038 (2024) - 2023
- [j35]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): 1520-1533 (2023) - [j34]Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao
Extract-Transform-Load for Video Streams. Proc. VLDB Endow. 16(9): 2302-2315 (2023) - [j33]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): 3515-3527 (2023) - [j32]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): 3922-3925 (2023) - [c57]Norman May
International Workshop on Data Management on New Hardware (DaMoN). SIGMOD Conference Companion 2023: 299-300 - [c56]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 - [e7]Norman May, Nesime Tatbul:
Proceedings of the 19th International Workshop on Data Management on New Hardware, DaMoN 2023, Seattle, WA, USA, June 18-23, 2023. ACM 2023 [contents] - [i14]Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden:
Extract-Transform-Load for Video Streams. CoRR abs/2310.04830 (2023) - [i13]Ozlem Ceren Sahin, Nesime Tatbul, Pinar Karagoz:
Event Detection on Twitter. CoRR abs/2311.07586 (2023) - 2022
- [j31]Alexander Artikis, Nesime Tatbul, Lukasz Golab, Mohammad Sadoghi
Editorial. Inf. Syst. 109: 102088 (2022) - [j30]Abdul Wasay, Nesime Tatbul, Justin Gottschlich:
Machine Programming: Turning Data into Programmer Productivity. Proc. VLDB Endow. 15(12): 3754-3757 (2022) - [j29]Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Making Learned Query Optimization Practical. SIGMOD Rec. 51(1): 6-13 (2022) - [j28]Manos Athanassoulis
Artifacts Availability & Reproducibility (VLDB 2021 Round Table). SIGMOD Rec. 51(2): 74-77 (2022) - [j27]Arun Kumar, Alon Y. Halevy, Nesime Tatbul:
VLDB Scalable Data Science Category: The Inaugural Year. SIGMOD Rec. 51(3): 56-58 (2022) - [c55]Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul:
Self-Organizing Data Containers. CIDR 2022 - [c54]Franco Solleza, Andrew Crotty, Suman Karumuri, Nesime Tatbul, Stan Zdonik:
Mach: A Pluggable Metrics Storage Engine for the Age of Observability. CIDR 2022 - 2021
- [j26]Arun Kumar, Alon Y. Halevy, Nesime Tatbul:
Front Matter. Proc. VLDB Endow. 14(7) (2021) - [j25]Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14(11): 2019-2032 (2021) - [j24]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): 2613-2626 (2021) - [j23]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): 2827-2830 (2021) - [c53]Suman Karumuri, Franco Solleza, Stan Zdonik, Nesime Tatbul:
Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series. CIDR 2021 - [c52]Ryan Marcus
Bao: Making Learned Query Optimization Practical. SIGMOD Conference 2021: 1275-1288 - [e6]Alessandro Margara, Emanuele Della Valle, Alexander Artikis, Nesime Tatbul, Helge Parzyjegla:
15th ACM International Conference on Distributed and Event-based Systems, DEBS 2021, Virtual Event, Italy, June 28 - July 2, 2021. ACM 2021, ISBN 978-1-4503-8555-8 [contents] - [e5]Rajesh Bordawekar, Yael Amsterdamer
aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, Virtual Event, China, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8535-0 [contents] - [i12]Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. CoRR abs/2101.04964 (2021) - 2020
- [j22]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): 2993-2996 (2020) - [j21]Suman Karumuri, Franco Solleza, Stan Zdonik, Nesime Tatbul:
Towards Observability Data Management at Scale. SIGMOD Rec. 49(4): 18-23 (2020) - [c51]Anil Shanbhag, Nesime Tatbul, David E. Cohen
Large-scale in-memory analytics on Intel® Optane™ DC persistent memory. DaMoN 2020: 4:1-4:8 - [c50]Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Cost-Guided Cardinality Estimation: Focus Where it Matters. ICDE Workshops 2020: 154-157 - [e4]Rajesh Bordawekar, Oded Shmueli, Nesime Tatbul, Tin Kam Ho:
Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020. ACM 2020, ISBN 978-1-4503-8029-4 [contents] - [i11]Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Learning to Steer Query Optimizers. CoRR abs/2004.03814 (2020) - [i10]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 abs/2006.05265 (2020) - [i9]Vincent Jacob, Fei Song, Arnaud Stiegler, Yanlei Diao, Nesime Tatbul:
AnomalyBench: An Open Benchmark for Explainable Anomaly Detection. CoRR abs/2010.05073 (2020) - [i8]Akhilesh Gupta, Nesime Tatbul, Ryan Marcus, Shengtian Zhou, Insup Lee, Justin Gottschlich:
Class-Weighted Evaluation Metrics for Imbalanced Data Classification. CoRR abs/2010.05995 (2020)
2010 – 2019
- 2019
- [j20]Ryan Marcus
Neo: A Learned Query Optimizer. Proc. VLDB Endow. 12(11): 1705-1718 (2019) - [c49]Philipp Eichmann, Franco Solleza, Junjay Tan, Nesime Tatbul, Stan Zdonik:
Metro-Viz: Black-Box Analysis of Time Series Anomaly Detectors. CHI Extended Abstracts 2019 - [c48]Nesime Tatbul:
Tools for Advanced Time Series Analytics: Enabling the Future. CIDR 2019 - [c47]Ozlem Ceren Sahin, Pinar Karagoz
Streaming Event Detection in Microblogs: Balancing Accuracy and Performance. ICWE 2019: 123-138 - [c46]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: 11623-11635 - [c45]Philipp Eichmann, Franco Solleza, Nesime Tatbul, Stan Zdonik:
Visual Exploration of Time Series Anomalies with Metro-Viz. SIGMOD Conference 2019: 1901-1904 - [p2]Nesime Tatbul:
The Aurora/Borealis/streambase codelines: a tale of three systems. Making Databases Work 2019: 321-332 - [i7]Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul:
Neo: A Learned Query Optimizer. CoRR abs/1904.03711 (2019) - [i6]Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska:
LISA: Towards Learned DNA Sequence Search. CoRR abs/1910.04728 (2019) - 2018
- [c44]Nesime Tatbul:
New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote). DEBS 2018: 14-15 - [c43]Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Mejbah Alam, Justin Gottschlich:
Precision and Recall for Time Series. NeurIPS 2018: 1924-1934 - [c42]Justin Gottschlich, Armando Solar-Lezama
The three pillars of machine programming. MAPL@PLDI 2018: 69-80 - [r3]Nesime Tatbul:
Load Shedding. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Nesime Tatbul:
Transactional Stream Processing. Encyclopedia of Database Systems (2nd ed.) 2018 - [i5]Tae-Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik:
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection. CoRR abs/1801.03168 (2018) - [i4]Tae Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik:
Precision and Recall for Range-Based Anomaly Detection. CoRR abs/1801.03175 (2018) - [i3]Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Justin Gottschlich:
A New Model for Evaluating Range-Based Anomaly Detection Algorithms. CoRR abs/1803.03639 (2018) - [i2]Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson:
The Three Pillars of Machine-Based Programming. CoRR abs/1803.07244 (2018) - 2017
- [c41]Jiang Du, John Meehan, Nesime Tatbul, Stan Zdonik:
Towards Dynamic Data Placement for Polystore Ingestion. BIRTE 2017: 2:1-2:8 - [c40]Jiang Du, John Meehan, Nesime Tatbul, Stan Zdonik:
Towards Dynamic Data Placement for Polystore Ingestion. BIRTE (Revised Selected Papers) 2017: 211-228 - [c39]John Meehan, Cansu Aslantas, Stan Zdonik, Nesime Tatbul, Jiang Du:
Data Ingestion for the Connected World. CIDR 2017 - 2016
- [c38]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: 1-7 - [p1]Ugur Çetintemel, Daniel J. Abadi, Yanif Ahmad, Hari Balakrishnan, Magdalena Balazinska, Mitch Cherniack
The Aurora and Borealis Stream Processing Engines. Data Stream Management 2016: 337-359 - 2015
- [j19]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): 94-104 (2015) - [j18]Aaron J. Elmore
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8(12): 1908-1911 (2015) - [j17]John Meehan, Nesime Tatbul, Stan Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo
S-Store: Streaming Meets Transaction Processing. Proc. VLDB Endow. 8(13): 2134-2145 (2015) - [j16]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): 62-63 (2015) - [e3]Malú Castellanos, Umeshwar Dayal, Torben Bach Pedersen, Nesime Tatbul:
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. Lecture Notes in Business Information Processing 206, Springer 2015, ISBN 978-3-662-46838-8 [contents] - [i1]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 abs/1503.01143 (2015) - 2014
- [j15]Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, John Meehan, Andrew Pavlo
S-Store: A Streaming NewSQL System for Big Velocity Applications. Proc. VLDB Endow. 7(13): 1633-1636 (2014) - [j14]Boris Glavic
Efficient Stream Provenance via Operator Instrumentation. ACM Trans. Internet Techn. 14(1): 7:1-7:26 (2014) - [c37]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: 1407-1408 - 2013
- [j13]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): 421-446 (2013) - [c36]Cagri Balkesen, Nihal Dindar, Matthias Wetter, Nesime Tatbul:
RIP: run-based intra-query parallelism for scalable complex event processing. DEBS 2013: 3-14 - [c35]Cagri Balkesen, Nesime Tatbul, M. Tamer Özsu
Adaptive input admission and management for parallel stream processing. DEBS 2013: 15-26 - [c34]Boris Glavic
Ariadne: managing fine-grained provenance on data streams. DEBS 2013: 39-50 - 2012
- [j12]Ahmet Sacan, Nesime Tatbul:
Letter from the Associate Editors. Proc. VLDB Endow. 5(10): i-viii (2012) - [c33]Irina Botan, Peter M. Fischer, Donald Kossmann, Nesime Tatbul:
Transactional stream processing. EDBT 2012: 204-215 - [c32]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: 159-166 - [c31]Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul:
Incremental DNA Sequence Analysis in the Cloud. SSDBM 2012: 640-645 - 2011
- [j11]Erik Buchmann, Nesime Tatbul, Mario A. Nascimento:
Query processing in sensor networks. Distributed Parallel Databases 29(1-2): 1-2 (2011) - [j10]Alexandru Moga, Nesime Tatbul:
UpStream: A Storage-centric Load Management System for Real-time Update Streams. Proc. VLDB Endow. 4(12): 1442-1445 (2011) - [j9]Alexandru Moga, Irina Botan, Nesime Tatbul:
UpStream: storage-centric load management for streaming applications with update semantics. VLDB J. 20(6): 867-892 (2011) - [c30]Boris Glavic, Kyumars Sheykh Esmaili, Peter M. Fischer, Nesime Tatbul:
The Case for Fine-Grained Stream Provenance. BTW Workshops 2011: 58-61 - [c29]Nihal Dindar, Peter M. Fischer, Merve Soner, Nesime Tatbul:
Efficiently correlating complex events over live and archived data streams. DEBS 2011: 243-254 - [c28]Nihal Dindar, Peter M. Fischer, Nesime Tatbul:
DejaVu: a complex event processing system for pattern matching over live and historical data streams. DEBS 2011: 399-400 - [c27]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: 467-476 - [c26]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: 21-28 - [c25]Michael Duller, Jan S. Rellermeyer
Virtualizing Stream Processing. Middleware 2011: 269-288 - [c24]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: 613-624 - 2010
- [j8]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): 232-243 (2010) - [c23]Nesime Tatbul:
Streaming data integration: Challenges and opportunities. ICDE Workshops 2010: 155-158 - [c22]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: 1093-1096
2000 – 2009
- 2009
- [j7]Nihal Dindar, Cagri Balkesen, Katina Kromwijk, Nesime Tatbul:
Event Processing Support for Cross-Reality Environments. IEEE Pervasive Comput. 8(3): 34-41 (2009) - [c21]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: 14-31 - [c20]Irina Botan, Gustavo Alonso, Peter M. Fischer, Donald Kossmann, Nesime Tatbul:
Flexible and scalable storage management for data-intensive stream processing. EDBT 2009: 934-945 - [c19]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: 1023-1026 - [e2]Mario A. Nascimento, Nesime Tatbul:
Proceedings of the 6th Workshop on Data Management for Sensor Networks, in conjunction with VLDB, DMSN 2009, Lyon, France, August 24, 2009. ACM International Conference Proceeding Series, ACM 2009, ISBN 978-1-60558-777-6 [contents] - [e1]Ugur Çetintemel, Stanley B. Zdonik, Donald Kossmann, Nesime Tatbul:
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2009, Providence, Rhode Island, USA, June 29 - July 2, 2009. ACM 2009, ISBN 978-1-60558-551-2 [contents] - [r1]Nesime Tatbul:
Load Shedding. Encyclopedia of Database Systems 2009: 1632-1636 - 2008
- [j6]Mert Akdere, Ugur Çetintemel, Nesime Tatbul:
Plan-based complex event detection across distributed sources. Proc. VLDB Endow. 1(1): 66-77 (2008) - [j5]Gustavo Alonso, Donald Kossmann, Timothy Roscoe, Nesime Tatbul, Andrew Baumann, Carsten Binnig
The ETH Zurich systems group and enterprise computing center. SIGMOD Rec. 37(4): 94-99 (2008) - 2007
- [b1]Nesime Tatbul:
Load Shedding Techniques for Data Stream Management Systems. Brown University, USA, 2007 - [c18]Nesime Tatbul, Ugur Çetintemel, Stanley B. Zdonik:
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing. VLDB 2007: 159-170 - 2006
- [c17]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: 66-85 - [c16]Nesime Tatbul, Stanley B. Zdonik:
Dealing with Overload in Distributed Stream Processing Systems. ICDE Workshops 2006: 24 - [c15]Nesime Tatbul, Stanley B. Zdonik:
Window-Aware Load Shedding for Aggregation Queries over Data Streams. VLDB 2006: 799-810 - 2005
- [c14]Daniel J. Abadi
The Design of the Borealis Stream Processing Engine. CIDR 2005: 277-289 - [c13]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: 882-884 - 2004
- [j4]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): 370-383 (2004) - [c12]Nesime Tatbul, Mark J. Buller, Reed W. Hoyt, Steve Mullen, Stanley B. Zdonik:
Confidence-based data management for personal area sensor networks. DMSN 2004: 24-31 - 2003
- [j3]Daniel J. Abadi
Aurora: a new model and architecture for data stream management. VLDB J. 12(2): 120-139 (2003) - [c11]Daniel J. Abadi
Aurora: A Data Stream Management System. SIGMOD Conference 2003: 666 - [c10]Nesime Tatbul, Ugur Çetintemel, Stanley B. Zdonik, Mitch Cherniack, Michael Stonebraker:
Load Shedding in a Data Stream Manager. VLDB 2003: 309-320 - 2002
- [c9]Nesime Tatbul:
OoS-Driven Load Shedding on Data Streams. EDBT PhD Workshop 2002: 21-30 - [c8]Nesime Tatbul:
QoS-Driven Load Shedding on Data Streams. EDBT Workshops 2002: 566-576 - [c7]Donald Carney, Ugur Çetintemel, Mitch Cherniack, Christian Convey, Sangdon Lee, Greg Seidman, Michael Stonebraker, Nesime Tatbul, Stanley B. Zdonik:
Monitoring Streams - A New Class of Data Management Applications. VLDB 2002: 215-226 - 2000
- [j2]Sena Nural Arpinar, Asuman Dogac
An open electronic marketplace through agent-based workflows: MOPPET. Int. J. Digit. Libr. 3(1): 36-59 (2000) - [c6]Asuman Dogac
A Workflow System through Cooperating Agents for Control and Document Flow over the Internet. CoopIS 2000: 138-143 - [c5]Asuman Dogac, M. Ezbiderli, Yusuf Tambag, C. Icdem, Arif Tumer, Nesime Tatbul, N. Hamali, Catriel Beeri:
The MARIFlow Workflow Management System. ICDE 2000: 193
1990 – 1999
- 1999
- [c4]Ibrahim Cingil, Asuman Dogac
An Adaptable Workflow System Architecture on the Internet for Electronic Commerce Applications. DOA 1999: 242-251 - 1998
- [j1]Asuman Dogac
A Workflow-based Electronic Marketplace on the Web. SIGMOD Rec. 27(4): 25-31 (1998) - [c3]Asuman Dogac
METU-Emar: An Agent-Based Electronic Marketplace on the Web. ECDL 1998: 777-790 - [c2]Pinar Karagoz, Sena Nural Arpinar, Pinar Koksal, Nesime Tatbul, Esin Gokkoca, Asuman Dogac:
Task Handling in Workflow Management Systems. IADT 1998: 71-78 - 1997
- [c1]Esin Gokkoca, Mehmet Altinel, Ibrahim Cingil, Nesime Tatbul, Pinar Koksal, Asuman Dogac:
Design and Implementation of a Distributed Workflow Enactment Service. CoopIS 1997: 89-98
Coauthor Index
Peter M. Fischer 0001
aka: Peter Michael Fischer
aka: Peter Michael Fischer
Justin Emile Gottschlich
aka: Justin Gottschlich
aka: Justin Gottschlich
Michael Stonebraker
aka: Mike Stonebraker
aka: Mike Stonebraker
Stanley B. Zdonik
aka: Stan Zdonik
aka: Stan Zdonik
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
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last updated on 2024-11-05 21:59 CET by the dblp team
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