10 citations · 18 across the 4 of their papers we have counts for
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cs.DB2024★ 6 cited
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression
Aaron Hurst, Daniel E. Lucani, Qi Zhang
Exponential growth in data collection is creating significant challenges for data storage and analytics latency.Approximate Query Processing (AQP) has long been touted as a solutio…
cs.DB2023★ 2 cited
GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT
Aaron Hurst, Daniel E. Lucani, Qi Zhang
Exponential growth in the amount of data generated by the Internet of Things currently pose significant challenges for data communication, storage and analytics and leads to high c…