AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce

Abstract

The growing demands of processing massive datasets have promoted irresistible trends of running machine learning applications on MapReduce. When processing large input data, it is often of greater values to produce fast and accurate enough approximate results than slow exact results. Existing techniques produce approximate results by processing parts of the… (More)
DOI: 10.1109/INFOCOM.2017.8057037

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@article{Han2017AccurateMLIA, title={AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce}, author={Rui Han and Fan Zhang and Zhentao Wang}, journal={IEEE INFOCOM 2017 - IEEE Conference on Computer Communications}, year={2017}, pages={1-9} }