An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data

IEEE Transactions on Big Data(2021)

引用 96|浏览27
暂无评分
摘要
Cyber-physical-social big data generated from ubiquitous devices and diverse spaces generally are multi-source, heterogeneous, and deeply intertwined. To efficiently analyze and handle the ubiquitous cyber-physical-social big data, tensor is considered as an effective tool, but the curse of dimensionality is still the main bottleneck of tensor-based big data analysis. Tensor networks can considera...
更多
查看译文
关键词
Tensile stress,Big Data,Data analysis,History,Computer science,Tools,Matrix decomposition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要