StreamSampling.jl implements efficient one-pass sampling algorithms for data streams in Julia with constant memory footprint and performance gains over traditional methods.
Optimal sampling from sliding windows.Journal of Computer and System Sciences, 78(1):260–272
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
StreamSampling.jl: Efficient Sampling from Data Streams in Julia
StreamSampling.jl implements efficient one-pass sampling algorithms for data streams in Julia with constant memory footprint and performance gains over traditional methods.