@inproceedings{5bbffd46f6fe4ddab565ec840789d954,
title = "Surge: Continuous detection of bursty regions over a stream of spatial objects",
abstract = "With the proliferation of location-based services, the generation of massive geo-Tagged data opens up new opportunities to address real-world problems. In this paper, we present a novel continuous bursty region detection (SURGE) problem that aims to continuously detect a bursty region of a given size in a speci?ed geographical area from a stream of spatial objects. The SURGE problem is useful in addressing several real-world challenges such as disease outbreak detection. We propose an exact solution to address the problem, and show the ef?ciency and effectiveness by conducting experiments on real-world datasets.",
keywords = "Burst Detection, Spatial Data Management, Stream",
author = "Kaiyu Feng and Tao Guo and Gao Cong and Bhowmick, \{Sourav S.\} and Shuai Ma",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",
year = "2018",
month = oct,
day = "24",
doi = "10.1109/ICDE.2018.00133",
language = "英语",
series = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1296--1299",
booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
address = "美国",
}