Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees

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Other Links: arxiv.org

Abstract:

Aggregating data is fundamental to data analytics, data exploration, and OLAP. Approximate query processing (AQP) techniques are often used to accelerate computation of aggregates using samples, for which confidence intervals (CIs) are widely used to quantify the associated error. CIs used in practice fall into two categories: technique...More

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