Cyber risk prediction through social media big data analytics and statistical machine learning

As a natural outcome of achieving equilibrium, digital economic progress will most likely be subject to increased cyber risks. Therefore, the purpose of this study is to present an algorithmic model that utilizes social media big data analytics and statistical machine learning to predict cyber risks...

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Vydané v:	Journal of big data Ročník 6; číslo 1; s. 1 - 19
Hlavní autori:	Subroto, Athor, Apriyana, Andri
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 07.06.2019 Springer Nature B.V SpringerOpen
Predmet:	Accuracy Analytics Artificial intelligence Artificial neural networks Big Data Closely held corporations Communications Engineering Computational Science and Engineering Computer Science Confusion Cyber risks Data analysis Data management Data Mining and Knowledge Discovery Database Management Digital media Experimentation Experiments Information Storage and Retrieval Learning theory Machine learning Mass media Mathematical Applications in Computer Science Matrices Networks Neural networks Non-traditional actuary Predictions Predictive analytics Risk Social media Social networks Statistical prediction Threat evaluation Non-traditional actuary Big data Predictive analytics Social media Cyber risks Machine learning
ISSN:	2196-1115, 2196-1115
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