1 Introduction Big data,characterized by its unprecedented volume,velocity,variety,and veracity[1],has revolutionized the way we collect,analyze,and interpret information[2].Modern technologies,from Internet of Things...1 Introduction Big data,characterized by its unprecedented volume,velocity,variety,and veracity[1],has revolutionized the way we collect,analyze,and interpret information[2].Modern technologies,from Internet of Things devices to social media platforms,generate massive datasets that capture intricate patterns of human behavior,natural phenomena,and industrial processes.While this data deluge offers remarkable opportunities for discovery and innovation,it also introduces significant challenges such as computational bottlenecks,storage limitations,and the need for scalable analytical frameworks[3].展开更多
基金supported by the Natural Science Foundation of Guangdong Province(No.2023A1515011667)Science and Technology Major Project of Shenzhen(No.KJZD20230923114809020).
文摘1 Introduction Big data,characterized by its unprecedented volume,velocity,variety,and veracity[1],has revolutionized the way we collect,analyze,and interpret information[2].Modern technologies,from Internet of Things devices to social media platforms,generate massive datasets that capture intricate patterns of human behavior,natural phenomena,and industrial processes.While this data deluge offers remarkable opportunities for discovery and innovation,it also introduces significant challenges such as computational bottlenecks,storage limitations,and the need for scalable analytical frameworks[3].
