Nesime Tatbul

Orcid: 0000-0002-0416-7022

Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA


According to our database1, Nesime Tatbul authored at least 114 papers between 1997 and 2024.

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Bibliography

2024
Front Matter.
Proc. VLDB Endow., August, 2024

Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry.
Proc. VLDB Endow., August, 2024

Special issue on "Machine learning and databases".
VLDB J., July, 2024

BEAVER: An Enterprise Benchmark for Text-to-SQL.
CoRR, 2024

Making LLMs Work for Enterprise Data Tasks.
CoRR, 2024

CascadeServe: Unlocking Model Cascades for Inference Serving.
CoRR, 2024

Kairos: Efficient Temporal Graph Analytics on a Single Machine.
CoRR, 2024

International Workshop on Data Management on New Hardware (DaMoN).
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023
Robust Query Driven Cardinality Estimation under Changing Workloads.
Proc. VLDB Endow., 2023

Extract-Transform-Load for Video Streams.
Proc. VLDB Endow., 2023

AutoSteer: Learned Query Optimization for Any SQL Database.
Proc. VLDB Endow., 2023

QO-Insight: Inspecting Steered Query Optimizers.
Proc. VLDB Endow., 2023

Event Detection on Twitter.
CoRR, 2023

The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

International Workshop on Data Management on New Hardware (DaMoN).
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022
Bao: Making Learned Query Optimization Practical.
SIGMOD Rec., 2022

VLDB Scalable Data Science Category: The Inaugural Year.
SIGMOD Rec., 2022

Artifacts Availability & Reproducibility (VLDB 2021 Round Table).
SIGMOD Rec., 2022

Machine Programming: Turning Data into Programmer Productivity.
Proc. VLDB Endow., 2022

Editorial.
Inf. Syst., 2022

Mach: A Pluggable Metrics Storage Engine for the Age of Observability.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Self-Organizing Data Containers.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021
Flow-Loss: Learning Cardinality Estimates That Matter.
Proc. VLDB Endow., 2021

Front Matter.
Proc. VLDB Endow., 2021

A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection.
Proc. VLDB Endow., 2021

Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series.
Proc. VLDB Endow., 2021

Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series.
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020
Towards Observability Data Management at Scale.
SIGMOD Rec., 2020

Debugging Large-Scale Data Science Pipelines using Dagger.
Proc. VLDB Endow., 2020

Class-Weighted Evaluation Metrics for Imbalanced Data Classification.
CoRR, 2020

AnomalyBench: An Open Benchmark for Explainable Anomaly Detection.
CoRR, 2020

MISIM: An End-to-End Neural Code Similarity System.
CoRR, 2020

Bao: Learning to Steer Query Optimizers.
CoRR, 2020

Cost-Guided Cardinality Estimation: Focus Where it Matters.
Proceedings of the 36th IEEE International Conference on Data Engineering Workshops, 2020

Large-scale in-memory analytics on Intel<sup>®</sup> Optane<sup>™</sup> DC persistent memory.
Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

2019
Neo: A Learned Query Optimizer.
Proc. VLDB Endow., 2019

LISA: Towards Learned DNA Sequence Search.
CoRR, 2019

Visual Exploration of Time Series Anomalies with Metro-Viz.
Proceedings of the 2019 International Conference on Management of Data, 2019

A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Streaming Event Detection in Microblogs: Balancing Accuracy and Performance.
Proceedings of the Web Engineering - 19th International Conference, 2019

Tools for Advanced Time Series Analytics: Enabling the Future.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

Metro-Viz: Black-Box Analysis of Time Series Anomaly Detectors.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

The Aurora/Borealis/streambase codelines: a tale of three systems.
Proceedings of the Making Databases Work: the Pragmatic Wisdom of Michael Stonebraker, 2019

2018
Transactional Stream Processing.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Load Shedding.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

The Three Pillars of Machine-Based Programming.
CoRR, 2018

A New Model for Evaluating Range-Based Anomaly Detection Algorithms.
CoRR, 2018

Precision and Recall for Range-Based Anomaly Detection.
CoRR, 2018

Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection.
CoRR, 2018

The three pillars of machine programming.
Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

Precision and Recall for Time Series.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote).
Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, 2018

2017
Data Ingestion for the Connected World.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

Towards Dynamic Data Placement for Polystore Ingestion.
Proceedings of the Real-Time Business Intelligence and Analytics, 2017

2016
Integrating real-time and batch processing in a polystore.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

The Aurora and Borealis Stream Processing Engines.
Proceedings of the Data Stream Management - Processing High-Speed Data Streams, 2016

2015
Report on the 8th International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE'14).
SIGMOD Rec., 2015

S-Store: Streaming Meets Transaction Processing.
Proc. VLDB Endow., 2015

A Demonstration of the BigDAWG Polystore System.
Proc. VLDB Endow., 2015

Handling Shared, Mutable State in Stream Processing with Correctness Guarantees.
IEEE Data Eng. Bull., 2015

2014
Efficient Stream Provenance via Operator Instrumentation.
ACM Trans. Internet Techn., 2014

S-Store: A Streaming NewSQL System for Big Velocity Applications.
Proc. VLDB Endow., 2014

Are we experiencing a big data bubble?
Proceedings of the International Conference on Management of Data, 2014

2013
Modeling the execution semantics of stream processing engines with SECRET.
VLDB J., 2013

Ariadne: managing fine-grained provenance on data streams.
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013

Adaptive input admission and management for parallel stream processing.
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013

RIP: run-based intra-query parallelism for scalable complex event processing.
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013

2012
Letter from the Associate Editors.
Proc. VLDB Endow., 2012

Incremental DNA Sequence Analysis in the Cloud.
Proceedings of the Scientific and Statistical Database Management, 2012

Stream as You Go: The Case for Incremental Data Access and Processing in the Cloud.
Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012

Transactional stream processing.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
UpStream: storage-centric load management for streaming applications with update semantics.
VLDB J., 2011

UpStream: A Storage-centric Load Management System for Real-time Update Streams.
Proc. VLDB Endow., 2011

Query processing in sensor networks.
Distributed Parallel Databases, 2011

Changing flights in mid-air: a model for safely modifying continuous queries.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Virtualizing Stream Processing.
Proceedings of the Middleware 2011, 2011

Real-time route planning with stream processing systems: a case study for the city of Lucerne.
Proceedings of the 2011 ACM SIGSPATIAL International Workshop on GeoStreaming, 2011

Large-Scale DNA Sequence Analysis in the Cloud: A Stream-Based Approach.
Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011

DejaVu: a complex event processing system for pattern matching over live and historical data streams.
Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, 2011

Efficiently correlating complex events over live and archived data streams.
Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, 2011

The Case for Fine-Grained Stream Provenance.
Proceedings of the Proceedings BTW 2011, 2011

2010
SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems.
Proc. VLDB Endow., 2010

Streaming data integration: Challenges and opportunities.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

A demonstration of the MaxStream federated stream processing system.
Proceedings of the 26th International Conference on Data Engineering, 2010

2009
Load Shedding.
Proceedings of the Encyclopedia of Database Systems, 2009

Event Processing Support for Cross-Reality Environments.
IEEE Pervasive Comput., 2009

DejaVu: declarative pattern matching over live and archived streams of events.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Flexible and scalable storage management for data-intensive stream processing.
Proceedings of the EDBT 2009, 2009

Federated Stream Processing Support for Real-Time Business Intelligence Applications.
Proceedings of the Enabling Real-Time Business Intelligence - Third International Workshop, 2009

2008
The ETH Zurich systems group and enterprise computing center.
SIGMOD Rec., 2008

Plan-based complex event detection across distributed sources.
Proc. VLDB Endow., 2008

2007
Load Shedding Techniques for Data Stream Management Systems.
PhD thesis, 2007

Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

2006
Window-Aware Load Shedding for Aggregation Queries over Data Streams.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Dealing with Overload in Distributed Stream Processing Systems.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Load Management and High Availability in the Borealis Distributed Stream Processing Engine.
Proceedings of the GeoSensor Networks, Second International Conference, 2006

2005
Distributed operation in the Borealis stream processing engine.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

The Design of the Borealis Stream Processing Engine.
Proceedings of the Second Biennial Conference on Innovative Data Systems Research, 2005

2004
Retrospective on Aurora.
VLDB J., 2004

Confidence-based data management for personal area sensor networks.
Proceedings of the 1st Workshop on Data Management for Sensor Networks, 2004

2003
Aurora: a new model and architecture for data stream management.
VLDB J., 2003

Load Shedding in a Data Stream Manager.
Proceedings of 29th International Conference on Very Large Data Bases, 2003

Aurora: A Data Stream Management System.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

2002
Monitoring Streams - A New Class of Data Management Applications.
Proceedings of 28th International Conference on Very Large Data Bases, 2002

QoS-Driven Load Shedding on Data Streams.
Proceedings of the XML-Based Data Management and Multimedia Engineering, 2002

OoS-Driven Load Shedding on Data Streams.
Proceedings of the EDBT 2002 Ph.D. Workshop, Prague, Czech Republic, March 28, Proceedings, 2002

2000
An open electronic marketplace through agent-based workflows: MOPPET.
Int. J. Digit. Libr., 2000

The MARIFlow Workflow Management System.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

A Workflow System through Cooperating Agents for Control and Document Flow over the Internet.
Proceedings of the Cooperative Information Systems, 7th International Conference, 2000

1999
An Adaptable Workflow System Architecture on the Internet for Electronic Commerce Applications.
Proceedings of the International Symposium on Distributed Objects and Applications, 1999

1998
A Workflow-based Electronic Marketplace on the Web.
SIGMOD Rec., 1998

Task Handling in Workflow Management Systems.
Proceedings of the Third International Conference on Integrated Design and Process Technology, IDPT, 1998

METU-Emar: An Agent-Based Electronic Marketplace on the Web.
Proceedings of the Research and Advanced Technology for Digital Libraries, 1998

1997
Design and Implementation of a Distributed Workflow Enactment Service.
Proceedings of the Second IFCIS International Conference on Cooperative Information Systems, 1997


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