@inproceedings{d1e3c6ca459946a088f2645acfd13339,
title = "Development of tools for data analysis of earthquakes",
abstract = "In this paper, we focus on proposing tools for enabling scientists analyze and interpret large-scale datasets about earthquakes in a way which will complement current analytical tools and thinking thus, complement current effort on understanding the event itself. Apart from briefing current trends on analytical techniques we focus on illustrating the architectures of our proposed tools in order to familiarize readers of how things are structured and the way they work. We also describe the implementation of the produced tools as well as we test and thus, demonstrate their functionality and operational order through the development of YouTube help videos and use of relevant use case scenarios.",
keywords = "Big data, Data analytics, Disaster scenarios, Earthquake data analysis",
author = "E. Luksys and E. Asimakopoulou and N. Bessis",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 6th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014 ; Conference date: 10-09-2014 Through 12-09-2014",
year = "2015",
month = mar,
day = "9",
doi = "10.1109/INCoS.2014.24",
language = "English",
series = "Proceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "406--410",
editor = "Fatos Xhafa and Mario Koeppen and Francesco Palmieri and Vincenzo Loia and Leonard Barolli",
booktitle = "Proceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014",
address = "United States",
}