Author(s)

Cao Wen, Dai Haoran, Tong Xiaochong, Zhang Yinbao, Peng Feilin, Zhang Yong

Corresponding Author

Cao Wen

ABSTRACT

With the advent of the big data era, how to execute data mining and information association automatically and intelligently from valuable information point which we are interested in always is difficult and hot topic of research in the field of intelligence by using "big data thinking". Aiming at the research status of qualitative analysis to military intelligence lacking data support at present, the hypercube analysis model for the term of office to United States naval vessels was proposed by taking the United States Naval force deployment and command system as the research object. Adaptive gross error elimination and abnormal data analysis trigger are performed through critical statistical ЈВvalue detection of normal distribution; the normal distribution model for term of office is built by using detection of the optimal statistical ЈВ value; according to the analysis model of optimal normal distribution the benchmark term of office and referenced adjustment interval are obtained. According to the simulation and experimental results, the analysis model not only can automatically obtain the benchmark term of office for United States naval vessels and referenced adjustment interval from cyberspace data, which shows the model has higher correctness and rationality, but also it can provide self-learning ability for gross error elimination and data analysis by the trigger mechanism of abnormal data analysis, which shows the model has better automaticity and robustness, at the same time, it can also provide support of candidate data for related information analysis and mining, which promotes the expansibility of analysis model.

KEYWORDS

Big data; hypercube; term of office; normal distribution