DocumentCode :
3673534
Title :
Statistical Modeling and Visualizing Open Big Data Using a Terrorism Case Study
Author :
Narasimha Rao Vajjhala;Kenneth David Strang;Zhaohao Sun
Author_Institution :
Comput. Sci. Dept., Univ. of New York Tirana, Tirana, Albania
fYear :
2015
Firstpage :
489
Lastpage :
496
Abstract :
This study addressed the literature gap, identified by other researchers, that there are too few examples of applied empirical open big data analytics. Using correspondence analysis as a big data analytical technique, this study demonstrates how qualitative big data type could be analyzed to identify hidden factor relationships that may assist strategic decision making. We use a 64MB open meta big dataset developed by summarizing terrorist activity as keyword frequencies collected from trillions of public news articles published during a 43 year period from 1970-2013 and readily available statistical software, SPSS, to visually summarize the findings on a global terrorism big dataset. The approach in this paper might facilitate the research and development of open big data, big data analytics against global terrorism.
Keywords :
"Big data","Terrorism","Data models","Analytical models","Decision making","Mathematical model"
Publisher :
ieee
Conference_Titel :
Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on
Type :
conf
DOI :
10.1109/FiCloud.2015.15
Filename :
7300857
Link To Document :
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