Research on C4.5 algorithm improvement strategy based on MapReduce

摘要

By analyzing the shortcomings of C4.5 decision tree algorithm, this paper combines MapReduce parallel model in Hadoop platform with C4.5 decision tree algorithm, so that C4.5 algorithm can be executed in parallel, so as to improve the efficiency of the algorithm. The improved C4.5 algorithm implementation process is given and the process is analyzed. Finally, the C4.5 algorithm improved experimental environment configuration is explained.