Traditional big data high filling mining process is time-consuming

the defects of low efficiency. Based on improved genetic algorithm of incomplete data filling mining algorithm. This algorithm fusion in the BP artificial neural network algorithm first randomly generated incomplete data the initial network weights

and to train the weights of the group to design a incomplete data gene matrix

by using the genetic algorithm based on the gene matrix to calculate the incomplete data adaptive value function

and at the same time coding

hybridization and mutation genetic operation

on the basis of incomplete big data information of global search

with its search results as the core will be divided into complete and incomplete data

using the concept of entropy in information theory

and the same kind of complete data information of attribute values to fill the missing value. The experimental simulation proves that the incomplete big data based on improved genetic algorithm of incomplete filling mining method can realize data mining

improve the filling precision of the missing data.