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MacroBase: Prioritizing Attention in Fast Data

Summary: MacroBase prioritizes end-user attention in high-volume fast data streams and acts as a search engine for fast data. It delivers accurate, scalable classifications with explanations over groups, powered by a reservoir sampler and heavy-hitters sketch that reach up to 2M events/sec per core and see deployment in telematics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
haf683f8e1be6fa37
Venue
SIGMOD
Year
2017
Pagerank
9.5112726e-05
Overall Rank
1,844 | 87.65%
DOI
10.1145/3035918.3035928

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bailis_sigmod17,
        title = {{MacroBase: Prioritizing Attention in Fast Data}},
        author = {Bailis, Peter and Gan, Edward and Madden, Samuel and Narayanan, Deepak and Rong, Kexin and Suri, Sahaana},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035928},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035928},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 31 of 31 citing papers.

Rank Citing Paper Year Venue Pagerank
273 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022518449
1,226 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011432354
1,548 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010265663
2,167 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 8.9166414e-05
2,675 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 8.1273838e-05
3,525 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.2156031e-05
4,123 AutoOD: Automatic Outlier Detection 2023 SIGMOD 6.780889e-05
4,186 Data Integration and Machine Learning: A Natural Synergy 2018 SIGMOD 6.7408641e-05
4,278 MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems 2020 VLDB 6.6739278e-05
4,455 ASAP: Prioritizing Attention via Time Series Smoothing 2017 VLDB 6.5772404e-05
4,579 Scalable Kernel Density Classification via Threshold-Based Pruning 2017 SIGMOD 6.5103386e-05
4,615 ExplainIt! - A Declarative Root-cause Analysis Engine for Time Series Data 2019 SIGMOD 6.4853581e-05
4,702 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB 6.446361e-05
5,008 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.3049458e-05
7,050 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.5965026e-05
7,194 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 5.573413e-05
7,438 Data Integration and Machine Learning: A Natural Synergy 2018 VLDB 5.5123601e-05
7,633 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4635757e-05
7,720 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 5.4542911e-05
7,943 Outlier Summarization via Human Interpretable Rules 2024 VLDB 5.4054523e-05
8,115 Sentinel: Understanding Data Systems 2020 SIGMOD 5.3739121e-05
8,574 Panakos: Chasing the Tails for Multidimensional Data Streams 2023 VLDB 5.297131e-05
8,835 Demonstration: MacroBase, A Fast Data Analysis Engine 2017 SIGMOD 5.252421e-05
9,057 A Distributed System for Large-scale n-gram Language Models at Tencent 2019 VLDB 5.2145524e-05
9,374 A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection 2021 VLDB 5.1715133e-05
9,925 TSExplain: Surfacing Evolving Explanations for Time Series 2021 SIGMOD 5.0975983e-05
10,224 Reptile: Aggregation-level Explanations for Hierarchical Data 2022 SIGMOD 5.0460607e-05
11,171 Agree to Disagree: Robust Anomaly Detection with Noisy Labels 2025 SIGMOD 4.9605343e-05
11,508 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 4.9605343e-05
12,175 Leveraging Organizational Resources to Adapt Models to New Data Modalities 2020 VLDB 4.9605343e-05
12,309 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
112 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032341214
128 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00030317705
147 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.00028941363
165 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00027323925
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.0002578784
240 Gigascope: A Stream Database for Network Applications 2003 SIGMOD 0.00023371986
245 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.00023188414
498 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017323427
506 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00017158546
672 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014903109
688 Trill: A High-Performance Incremental Query Processor for Diverse Analytics 2015 VLDB 0.00014736145
757 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014202187
879 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013255435
1,989 Causality and Explanations in Databases 2014 VLDB 9.2277193e-05
2,364 Online Outlier Detection in Sensor Data Using Non-Parametric Models 2006 VLDB 8.5549846e-05
2,685 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.116387e-05
3,048 Interactive Outlier Exploration in Big Data Streams 2014 VLDB 7.7012708e-05
4,330 On Biased Reservoir Sampling in the Presence of Stream Evolution 2006 VLDB 6.6454689e-05
5,963 A Framework for Clustering Uncertain Data 2015 VLDB 5.9149296e-05
9,183 Relative Risk and Odds Ratio: A Data Mining Perspective 2005 PODS 5.1983161e-05
12,309 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 4.9605343e-05
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