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Exploring the Utility of Developer Exhaust
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...
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| 出版年: | Proc Second Workshop Data Manag End End Mach Learn (2018) |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6534136/ https://ncbi.nlm.nih.gov/pubmed/31131381 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3209889.3209895 |
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