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)

Paper ID: 283
Venue: CIDR
Year: 2017
Pagerank: 4.1905499e-05
Overall Rank: 11,764 | 18.24%
DOI: -

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
317	NoScope: Optimizing Neural Network Queries over Video at Scale	2017	VLDB	0.0002798145
2,129	MacroBase: Prioritizing Attention in Fast Data	2017	SIGMOD	9.4799835e-05
2,158	DIFF: A Relational Interface for Large-Scale Data Explanation	2019	VLDB	9.4117885e-05
8,633	Demonstration: MacroBase, A Fast Data Analysis Engine	2017	SIGMOD	4.4759033e-05
11,633	Leveraging Organizational Resources to Adapt Models to New Data Modalities	2020	VLDB	4.1905499e-05

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
143	TelegraphCQ: Continuous Dataflow Processing for an Uncertain World	2003	CIDR	0.00041688468
211	Gorilla: A Fast, Scalable, In-Memory Time Series Database	2015	VLDB	0.0003401421
638	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00018810785
2,129	MacroBase: Prioritizing Attention in Fast Data	2017	SIGMOD	9.4799835e-05
2,400	Causality and Explanations in Databases	2014	VLDB	8.884178e-05
4,575	The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox	2015	CIDR	6.0662145e-05

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