Ieee Transactions On Big Data

杂志介绍

Ieee Transactions On Big Data杂志介绍

《Ieee Transactions On Big Data》是一本以English为主的未开放获取国际优秀期刊，中文名称IEEE大数据交易，本刊主要出版、报道计算机科学-COMPUTER SCIENCE, THEORY & METHODS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为7.5，最新CiteScore 指数为11.8。

本刊近期中国学者发表的论文主要有：

• A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data

  Author: Zhou, Hao; Yang, Geng; Xiang, Yang; Bai, Yunlu; Wang, Weiya

• DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting

  Author: Zheng, Qi; Zhang, Yaying

• Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks

  Author: Zhang, Yupei; An, Rui; Liu, Shuhui; Cui, Jiaqi; Shang, Xuequn

• STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation

  Author: Yuan, Ye; Zhang, Yong; Wang, Boyue; Peng, Yuan; Hu, Yongli; Yin, Baocai

英文介绍

Ieee Transactions On Big Data杂志英文介绍

Ieee Transactions On Big Data publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications.

Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure,big data standards, big data performance analyses, intelligence from big data,scientific discovery from big data security, privacy,and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.