Prediction of Compression Ratio for Transform-based Lossy Compression in Time-series Datasets

2022 24th International Conference on Advanced Communication Technology (ICACT)(2022)

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摘要
As many IoT devices generate an enormous and varied amount of data that need to be processed in a very short time, storing and processing IoT big data become a huge challenge. While lossy compression can dramatically reduce data volume, finding an optimal balance between volume reduction and information loss is not an easy task. The compression ratio is within a range tolerable by the application ...
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关键词
Radio frequency,Analytical models,Machine learning,Predictive models,Big Data,Data models,Compressors
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