01190nas a2200289 4500000000100000000000100001008004100002260000900043653001300052653001900065653001500084653001900099653001600118653001400134653001700148653002100165653001900186653002200205653002200227653002500249653002500274100002000299245006600319300001200385490000700397520049600404 2018 d c201810abig data10aclassification10aclustering10acyber security10adata mining10afiltering10ahuman factor10amachine learning10anetwork graphs10aoutlier detection10asemantic analysis10aspatial data mapping10astatistical analysis1 aDimitar Kamenov00aIntelligent Methods for Big Data Analytics and Cyber Security a255-2620 v393 a
The article examines some intelligent computational methods for big data analysis which are applicable to issues of cyber security and military science, including the analysis of hybrid threats. It presents and compares big data analysis techniques such as quantitative analysis, qualitative analysis, data mining, statistical analysis, machine learning, semantic analysis, and visual analysis. The importance and prospects of intelligent methods for big data analysis are emphasized.