@inproceedings{fc13cdaa8be049d08d1429decfd2a682,
title = "The analysis of large-scale climate data: Jordan case study",
abstract = "The analysis of large-scale data for the purpose of extracting patterns is applicable to several research fields. In this paper, a dataset of climate related historical data from Jordan is collected. The main focus is to study evolution criteria of weather attributes in Jordan over the evaluated period of time and how it is connected to climate change. Results showed that humidity and dew point weather attributes are going to face a significant increase in the future. Such an increase is expected to have a direct, as well as an indirect impact on human life.",
keywords = "Big Data, Data Analysis, Weather prediction, climate change, data mining, evolution analysis, prediction models",
author = "Yaser Jararweh and Izzat Alsmadi and Mahmoud Al-Ayyoub and Darrel Jenerette",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014 ; Conference date: 10-11-2014 Through 13-11-2014",
year = "2014",
doi = "10.1109/AICCSA.2014.7073211",
language = "English",
series = "Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA",
publisher = "IEEE Computer Society",
pages = "288--294",
booktitle = "2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014",
address = "United States",
}