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About L - B F E A: Earning Ased Requency Stimation Lgorithms
This document summarizes a research paper on learning-based frequency estimation algorithms for data streams. The paper proposes algorithms that can automatically learn patterns in input data and use that to improve frequency estimates, combining benefits of machine learning and streaming algorithms. It shows that learning-based algorithms can provide lower estimation errors than non-learning algorithms. The algorithms were evaluated on real-world datasets and demonstrated performance gains of 18-71% over non-learning counterparts.
Detailed Information
| Author: | ['irfan_icil2099'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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