Scaling out big data missing value imputations: pythia vs. godzilla

Abstract

Solving the missing-value (MV) problem with small estimation errors in big data environments is a notoriously resource-demanding task. As datasets and their user community continuously grow, the problem can only be exacerbated. Assume that it is possible to have a single machine (`Godzilla'), which can store the massive dataset and support an ever-growing… (More)
DOI: 10.1145/2623330.2623615

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