作者: Keith Grueneberg , Bongjun Ko , David Wood , Xiping Wang , Dean Steuer
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摘要: Capturing and managing the data needed to build effective machine learning models for custom IoT environments requires a great deal of effort. The amount generated from devices is abundant, but tools find datasets appropriate desired are lacking. This paper presents capture system management catalog with solutions addressing challenges curating applied purpose-built deployments.