359 citations · 994 across the 28 of their papers we have counts for
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cs.DB2023★ 9 cited
Accelerating Aggregation Queries on Unstructured Streams of Data
Matthew Russo, Tatsunori Hashimoto, Daniel Kang +2
Analysts and scientists are interested in querying streams of video, audio, and text to extract quantitative insights. For example, an urban planner may wish to measure congestion…
cs.DB2020★ 3 cited
Approximate Selection with Guarantees using Proxies
Daniel Kang, Edward Gan, Peter Bailis +2
Due to the falling costs of data acquisition and storage, researchers and industry analysts often want to find all instances of rare events in large datasets. For instance, scienti…