Big Data Analysis and Management Based on Deep Learning

Dear Colleagues,

With the development of information society, the data scale is becoming larger and larger, and heterogeneous information is significantly expanded, including a series of cross media content, including video, image, remote sensing, audio, text, and other data. At present, the emergence of increasingly complex big data brings more challenges to the current big data analysis technology. Because of its multilayer nonlinear structure, the deep learning model has a strong feature learning ability, which provides an effective way to solve the above problems. For data-driven representation learning, such as speech recognition, target detection, image classification, and machine translation, deep learning shows unique advantages.

Therefore, this Special Issue aims to collate original research and review articles that emphasize the important role of deep learning for big data analysis. It aims to call for state-of-the-art research in the theory, algorithm, modeling, system, and application of deep learning-based big data analysis and to demonstrate the latest efforts of relevant researchers.

Prof. Dr. Min Xia
Dr. Kai Hu
Guest Editors

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