Research on Network Big Data Mining Technology Based on Structured Similarity

Abstract

Abstract At present, most institutions in my country mainly use clustering algorithms for data mining activities, but low accuracy is one of the common problems they face. The article proposes a network big data mining technology based on structured similarity. It is to convert the target data set in the network system into nearest neighbor network (kNN). It then use the network big data mining technology based on structured similarity. The target data is clustered to obtain a big data result with a slightly poorer objective function but higher clustering accuracy, so as to meet our needs for accurate data statistical results.