Abstract
Leading to industry big data applications often need long-term repeated research and customized development, invisibly raising the application threshold of big data. The method to realize tasks of data preprocessing and analysis mining by user zero code will greatly reduce the complexity of data integration and big data analysis and mining [1]. Through breaking through the technologies of built-in data transformation and pre-processing, zero code analysis model development and debugging, standardized algorithm SDK interface and etc., a big data analysis application platform based on visual interaction and distributed architecture is proposed. The platform integrates data pre-processing and data analysis and mining, provides distributed computing framework, data access engine, scheduling engine, operator set, interface and visual analysis function modules, and lays a technical foundation for solving the problems of industry big data application demand variability, customized development demand variability.
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Guo, L., Xu, W., Li, H., Zhang, S., Zhao, D., Yu, H. (2019). Research and Implementation of Interactive Analysis and Mining Technology for Big Data. In: Tang, Y., Zu, Q., Rodríguez García, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_36
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DOI: https://doi.org/10.1007/978-3-030-15127-0_36
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