Novel Data Reduction Based on Statistical Similarity

@inproceedings{Lee2016NovelDR,
  title={Novel Data Reduction Based on Statistical Similarity},
  author={Dongeun Lee and Alex Sim and Jaesik Choi and Kesheng Wu},
  booktitle={SSDBM},
  year={2016}
}
Applications such as scientific simulations and power grid monitoring are generating so much data quickly that compression is essential to reduce storage requirement or transmission capacity. To achieve better compression, one is often willing to discard some repeated information. These lossy compression methods are primarily designed to minimize the Euclidean distance between the original data and the compressed data. But this measure of distance severely limits either reconstruction quality… CONTINUE READING
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