scholarly journals Detecting Anomalous Behaviour Using Heterogeneous Data

Author(s):  
Azliza Mohd Ali ◽  
Plamen Angelov ◽  
Xiaowei Gu
2018 ◽  
Vol 22 (10) ◽  
pp. 3187-3201 ◽  
Author(s):  
Azliza Mohd Ali ◽  
Plamen Angelov

1971 ◽  
Vol 32 (C1) ◽  
pp. C1-1028-C1-1030 ◽  
Author(s):  
S. K. MALIK ◽  
R. VIJAYARAGHAVAN

2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.


2010 ◽  
Vol 12 (2) ◽  
pp. 194-199 ◽  
Author(s):  
Shaochun DONG ◽  
Hongwei YIN ◽  
Gang XU

2010 ◽  
Vol 11 (3) ◽  
pp. 292-298
Author(s):  
Hongjun SU ◽  
Yehua SHENG ◽  
Yongning WEN ◽  
Min CHEN

2014 ◽  
Author(s):  
Timothy P. Hanratty ◽  
Eric G. Heilman ◽  
John T. Richardson ◽  
Mark R. Mittrick

2004 ◽  
Vol 5 (8) ◽  
pp. 673-686 ◽  
Author(s):  
T. Grotkjaer ◽  
J. Nielsen

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