Research and Implementation of Parallel Data Mining of Process Object Based on Spark

In this paper, we study the parallel data mining based on Spark, and apply it to the data analysis of process object. We propose some parallel algorithm flow solutions based on Spark by studying the algorithm flow of stand-alone process object data mining. Through programming, parallel efficiency testing and algorithm tuning, we conclude an optimized parallel algorithm flow. These solutions improve the computational efficiency.