Architecture of Big Data Mining Based on Cloud Computing in the Era of Artificial Intelligence

摘要

Single layer Big Data Feature Mining (BDFM) can greatly reduce the accuracy of BDFM. In this regard, this paper proposes a feature mining method based on BDFM model in cloud computing environment. Its big data storage system layer includes multi-source information resource service layer, core technology layer, multi-source information resource platform service layer and multi-source information resource foundation layer. BDFM processing layer extracts, transforms, cleans, integrates and loads big data in the storage system layer to realize big data preprocessing. Experimental results show that the proposed method has high accuracy and low energy consumption in cloud computing environment.