SURGE: continuous detection of bursty regions over a stream of spatial objects

• Main Authors: Feng, Kaiyu, Guo, Tao, Cong, Gao, Bhowmick, Sourav S., Ma, Shuai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Surges; Real-Time Systems
• Online Access: https://hdl.handle.net/10356/161053
• Institution: Nanyang Technological University

With the proliferation of mobile devices and location-based services, continuous generation of massive volume of streaming spatial objects (i.e., geo-tagged data) opens up new opportunities to address real-world problems by analyzing them. In this paper, we present a novel continuous bursty region d...