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A system of pretreatment and storage of heterogenous big-data for deep-learning of big-data
A system of pretreatment and storage of heterogenous big-data for deep-learning of big-data
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机译：用于深度学习大数据的异构大数据预处理和存储系统
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摘要
Deep learning of heterogeneous big data, which collects heterogeneous big data generated from various sensors at the work site, but stores atypical heterogeneous big data in a format having a uniform structure by pre-processing it so that all can be applied directly to deep learning learning A system for preprocessing and storing heterogeneous big data for learning, comprising: a data collection unit for collecting heterogeneous data from various sensors; A preprocessor for generating preprocessed data by converting the collected data according to the preprocessing method of each heterogeneous data for each heterogeneous data; A data storage unit for storing the pre-processed data according to a predetermined structure; And a meta information insertion unit generating and inserting meta data for the pre-processed data. By pre-processing and storing heterogeneous big data collected in real time in a uniform structure by the system as described above, it is possible to eliminate repetitive pre-processing tasks when deep learning learning is continuously performed, thereby improving learning efficiency. have.
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