Exploring the Utility of Developer Exhaust
SIGMOD/PODS '18: International Conference on Management of Data Houston TX USA June, 2018, pp. 1-7, 2018.
Using machine learning to analyze data often results in developer exhaust -- code, logs, or metadata that do not define the learning algorithm but are byproducts of the data analytics pipeline. We study how the rich information present in developer exhaust can be used to approximately solve otherwise complex tasks. Specifically, we focus ...更多
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