We present a sampling framework for unaggregated data that uses a single pass (for streams) or two passes (for distributed data) and structure size proportional ...
Feb 20, 2015 · We present a sampling framework for unaggregated data that uses a single pass (for streams) or two passes (for distributed data) and state proportional to the ...
We present a sampling framework for unaggregated data that uses a single pass (for streams) or two passes (for distributed data) and state proportional to the ...
We present a sampling framework for unaggregated data that uses a single pass (for streams) or two passes (for distributed data) and state proportional to ...
This work presents a sampling framework for unaggregated data that uses a single pass (for streams) or two passes (for distributed data) and state ...
Random samples can be very effective for quick and efficient estimation of statistics at query time. Ideally, to estimate statistics for a given function f , ...
Aug 11, 2015 · Efficient computation requires: small state (much smaller than the number of unique keys) one (or few) passes over the data.
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ABSTRACT. This paper introduces a new single-pass reservoir weighted-sampling stream aggregation algorithm, Priority-Based Aggregation (PBA).
Sep 9, 2024 · We present a sampling framework for unaggregated data that uses a single pass (for streams) or two passes (for distributed data) and state ...