@inproceedings{5d71aec93e8447518e8caac2d63d52bc,
title = "3D Visualization of Earthquake Big Data",
abstract = "Visualization is one of the most intuitive and perceptible way for information representation. It is especially true for data which is too complex, or too large to be easily handled. Many visualization techniques are developed for effectively representing different type of information. However, few of them dealt with the earthquake big data. In recent year, strong earthquake disasters occur very frequently around the world. Many scientists suggested that earth has entered the active seismic period. Taiwan is located in a seismically active zone, too. Therefore, in this project, we developed a 3D visualization system which aims to further enhance users' awareness of earthquakes in Taiwan.",
keywords = "Big Data, Earthquake, Visualization, information representation",
author = "Chen, {Lieu Hen} and Hung, {Hao Ming} and Chen, {Chun Yu} and Wu, {Hsiao Kuang} and Yasufumi Takama and Toru Yamaguchi",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 ; Conference date: 01-12-2017 Through 03-12-2017",
year = "2018",
month = may,
day = "9",
doi = "10.1109/TAAI.2017.45",
language = "???core.languages.en_GB???",
series = "Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "72--75",
booktitle = "Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017",
}