雜志介紹

Ieee Transactions On Big Data雜志介紹

《Ieee Transactions On Big Data》是一(yi)本以English為(wei)(wei)主的(de)(de)未開放獲取國(guo)際(ji)優秀期刊(kan)，中(zhong)文名稱IEEE大數據交易，本刊(kan)主要出版、報道計算機(ji)科學(xue)-COMPUTER SCIENCE, THEORY & METHODS領(ling)(ling)域的(de)(de)研究動(dong)態以及在該領(ling)(ling)域取得的(de)(de)各(ge)方面的(de)(de)經驗和(he)科研成果，介紹該領(ling)(ling)域有關本專業的(de)(de)最新(xin)(xin)進展(zhan)，探(tan)討行業發展(zhan)的(de)(de)思(si)路和(he)方法，以促進學(xue)術(shu)信息交流，提高(gao)行業發展(zhan)。該刊(kan)已被國(guo)際(ji)權威(wei)數據庫SCIE收錄，為(wei)(wei)該領(ling)(ling)域相關學(xue)科的(de)(de)發展(zhan)起到了(le)(le)良好的(de)(de)推動(dong)作(zuo)用(yong)，也得到了(le)(le)本專業人員的(de)(de)廣(guang)泛認(ren)可。該刊(kan)最新(xin)(xin)影響因子為(wei)(wei)7.5，最新(xin)(xin)CiteScore 指(zhi)數為(wei)(wei)11.8。

本刊近期中國(guo)學(xue)者發表(biao)的論文主要(yao)有(you)：

• 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

英文介紹

Ieee Transactions On Big Data雜志英文介紹

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.