Prioritizing Attention in Fast Data: Principles and Promise
Summary: Articulates design principles for fast-data analytics that prioritize scarce human attention—return fewer results, enable iterative workflows, and “filter fast” to compute less. Implements MacroBase, a streaming engine combining feature transforms, classification, and summarization to produce interpretable, prioritized explanations of key behaviors in high-rate data. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Peter Bailis (Stanford University)
- 2. Edward Gan (Stanford University)
- 3. Kexin Rong (Stanford University)
- 4. Sahaana Suri (Stanford University)
BibTeX Citation
@inproceedings{bailis_cidr17,
address = {Amsterdam, Netherlands},
series = {{CIDR} '17},
title = {{Prioritizing Attention in Fast Data: Principles and Promise}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Bailis, Peter and Gan, Edward and Rong, Kexin and Suri, Sahaana},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 271 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00022560564 |
| 1,833 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.5405247e-05 |
| 2,160 | DIFF: A Relational Interface for Large-Scale Data Explanation | 2019 | VLDB | 8.9364035e-05 |
| 8,810 | Demonstration: MacroBase, A Fast Data Analysis Engine | 2017 | SIGMOD | 5.2723423e-05 |
| 12,125 | Leveraging Organizational Resources to Adapt Models to New Data Modalities | 2020 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 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 | 0.00032459277 |
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.0002900671 |
| 503 | Towards a Unified Architecture for in-RDBMS Analytics | 2012 | SIGMOD | 0.00017202276 |
| 1,833 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.5405247e-05 |
| 1,981 | Causality and Explanations in Databases | 2014 | VLDB | 9.2586863e-05 |
| 4,302 | The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox | 2015 | CIDR | 6.6778695e-05 |
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