因素空间理论的因素Markov 过程.

In order to adapt to the randomness of large data, based on the background distribution in the factor space, the measurability of the factor space is studied, and the measurability and measurability factors space are obtained. Then the randomness is introduced into the factor space, and the factor random process, factor Markov process theory, nature, and application are given. The data reasoning of Markov process randomness and factor space is combined, and the randomness field of factor space theory is expanded. From another point of view, the reasons for background distribution, random process, and Markov process are explained. It provides a new prediction method for dealing with factors with no latency. [ABSTRACT FROM AUTHOR]